社群媒體分析-HW2
楚門的世界字幕
安裝需要的packages
packages = c("dplyr", "tidytext", "stringr", "wordcloud2","tidyverse",'knitr','kableExtra', "ggplot2",'readr','data.table','reshape2','wordcloud','tidyr','scales','jiebaR','sentimentr','htmltools')
existing = as.character(installed.packages()[,1])
for(pkg in packages[!(packages %in% existing)]) install.packages(pkg)library(dplyr)
library(stringr)
require(tidytext)
library(sentimentr)
library(wordcloud2)
require(data.table)
require(ggplot2)
require(reshape2)
require(wordcloud)
require(tidyr)
require(readr)
require(scales)
library(jiebaR)
library(tidyverse)
library(knitr)
library(kableExtra)字幕檔的格式如下圖
讀進字幕檔Truman.srt
lines <- readLines("Truman.srt")
listOfEntries <- lapply(split(1:length(lines), cumsum(grepl("^\\s*$", lines))), function(blockIdx) {
block <- lines[blockIdx]
block <- block[!grepl("^\\s*$", block)]
if (length(block) == 0) { return(NULL) }
if (length(block) < 3) {
warning("block not respecting srt standards")
}
return(data.frame(id = block[1],
times = block[2],
textString = paste0(block[3:length(block)], collapse = "\n"),
stringsAsFactors = FALSE))
})
movie <- do.call(rbind, listOfEntries)
movie <- movie %>%
separate(times, into = c("start", "end"), sep = " --> ") %>%
mutate(id = str_extract(id, "[0-9']+")) %>% #id:1有亂碼，因此只擷取數字
mutate(start_minute = as.numeric(str_sub(start,1,2)) * 60 + as.numeric(str_sub(start,4,5)))
#新增一個欄位，紀錄一句話的開始時間是第幾分鐘
#start中，小時在字串的1、2的位置，分鐘在字串3、4的位置，計算第幾分鐘:小時*60+分鐘資料前處理
clean = function(txt) {
txt = gsub("[\t]{2,}", "", txt) #去除兩個以上的tab
txt = gsub("\\n"," ",txt) #去除換行，以空格代替
txt = gsub("-","",txt) #去除中間的dash
txt = gsub("\\s+"," ",txt) #去除一個以上的空格(包括中間包含的與前後)，以一個空格代替
txt = gsub("^\\s+|\\s+$","",txt) #去除開頭與結尾的一個以上的空格
}
movie$text = clean(movie$text)
movie <- movie %>%
select(-textString)
#處理後的結果
kable(movie) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| id | start | end | start_minute | text |
|---|---|---|---|---|
| 1 | 00:00:19,436 | 00:00:23,939 | 0 | We’ve become bored with watching actors give us phony emotions. |
| 2 | 00:00:24,691 | 00:00:28,402 | 0 | We’re tired of pyrotechnics and special effects. |
| 3 | 00:00:28,945 | 00:00:33,782 | 0 | While the world he inhabits is, in some respects, counterfeit, |
| 4 | 00:00:34,743 | 00:00:37,661 | 0 | there’s nothing fake about Truman himself. |
| 5 | 00:00:38,371 | 00:00:40,956 | 0 | No scripts, no cue cards. |
| 6 | 00:00:41,750 | 00:00:44,793 | 0 | It isn’t always Shakespeare, but it’s genuine. |
| 7 | 00:00:45,545 | 00:00:46,962 | 0 | It’s a life. |
| 8 | 00:00:50,842 | 00:00:52,760 | 0 | I’m not going to make it. |
| 9 | 00:00:54,262 | 00:00:55,971 | 0 | You’re going to have to go on without me. |
| 10 | 00:01:01,311 | 00:01:02,811 | 1 | No way, mister. |
| 11 | 00:01:03,646 | 00:01:07,483 | 1 | You’re going to the top of this mountain, broken legs and all. |
| 12 | 00:01:11,988 | 00:01:15,157 | 1 | We find many viewers leave him on all night for comfort. |
| 13 | 00:01:16,993 | 00:01:19,161 | 1 | You’re crazy, you know that? |
| 14 | 00:01:22,415 | 00:01:26,585 | 1 | For me, there is no difference between a private life and a public life. |
| 15 | 00:01:26,669 | 00:01:30,005 | 1 | My life, is my life, is The Truman Show. |
| 16 | 00:01:30,090 | 00:01:32,424 | 1 | The Truman Show is a lifestyle. |
| 17 | 00:01:32,509 | 00:01:34,843 | 1 | It’s a noble life. It is… |
| 18 | 00:01:37,722 | 00:01:39,306 | 1 | …a truly blessed life. |
| 19 | 00:01:39,390 | 00:01:42,017 | 1 | Yeah, tell me something I don’t know. |
| 20 | 00:01:43,394 | 00:01:46,146 | 1 | All right. Promise me one thing, though. |
| 21 | 00:01:46,856 | 00:01:49,441 | 1 | If I die before I reach the summit, |
| 22 | 00:01:50,401 | 00:01:53,487 | 1 | you’ll use me as an alternative source of food. |
| 23 | 00:01:54,572 | 00:01:55,656 | 1 | Gross. |
| 24 | 00:01:59,160 | 00:02:01,370 | 1 | It’s all true. It’s all real. |
| 25 | 00:02:01,579 | 00:02:05,290 | 2 | Nothing here is fake. Nothing you see on this show is fake. |
| 26 | 00:02:05,667 | 00:02:07,042 | 2 | It’s merely controlled. |
| 27 | 00:02:15,301 | 00:02:18,262 | 2 | Eat me, damn it. That’s an order. |
| 28 | 00:02:21,224 | 00:02:23,392 | 2 | Maybe just your love handles. |
| 29 | 00:02:24,310 | 00:02:27,938 | 2 | I have love handles? Yeah. Little ones. |
| 30 | 00:02:28,231 | 00:02:30,691 | 2 | Truman. You’re going to be late. |
| 31 | 00:02:31,276 | 00:02:32,943 | 2 | Okay! |
| 32 | 00:02:47,167 | 00:02:48,959 | 2 | Good morning. Morning. |
| 33 | 00:02:49,043 | 00:02:50,210 | 2 | Good morning. |
| 34 | 00:02:50,295 | 00:02:54,590 | 2 | In case I don’t see you, good afternoon, good evening, and good night. |
| 35 | 00:02:55,550 | 00:02:56,842 | 2 | Yeah. |
| 36 | 00:02:56,926 | 00:02:58,844 | 2 | Morning, Truman. Morning, Spencer. |
| 37 | 00:02:58,928 | 00:03:00,721 | 2 | Hey, Pluto. No, get down. |
| 38 | 00:03:00,805 | 00:03:02,556 | 3 | He won’t hurt you. Get down. |
| 39 | 00:03:02,640 | 00:03:04,183 | 3 | I know. |
| 40 | 00:03:04,309 | 00:03:06,560 | 3 | It’s just me. Come on, Pluto. |
| 41 | 00:03:28,750 | 00:03:30,125 | 3 | What is it? |
| 42 | 00:03:51,272 | 00:03:55,525 | 3 | Here’s a news flash just in. An aircraft in trouble began shedding parts |
| 43 | 00:03:55,610 | 00:03:58,695 | 3 | as it flew over Seahaven just a few moments ago. |
| 44 | 00:03:58,780 | 00:04:00,489 | 3 | Luckily, no one was hurt. |
| 45 | 00:04:00,573 | 00:04:02,658 | 4 | But, hey, how do you feel today? |
| 46 | 00:04:02,992 | 00:04:05,077 | 4 | That’s good. You thinking of flying somewhere? |
| 47 | 00:04:05,161 | 00:04:06,703 | 4 | Nope. No? Good. |
| 48 | 00:04:06,788 | 00:04:08,872 | 4 | This is Classical Clive with Classical Drive |
| 49 | 00:04:08,957 | 00:04:11,291 | 4 | so why don’t you forget about the perils of fiying, |
| 50 | 00:04:11,376 | 00:04:14,378 | 4 | settle back, and let this music calm you down? |
| 51 | 00:04:18,758 | 00:04:21,176 | 4 | Dog Fancy, please. Dog Fancy. |
| 52 | 00:04:21,261 | 00:04:24,096 | 4 | Thank you very much. Thank you very much. |
| 53 | 00:04:24,847 | 00:04:27,015 | 4 | Give me a paper there, will you, Earl? |
| 54 | 00:04:27,100 | 00:04:30,060 | 4 | And one of these for the wife. |
| 55 | 00:04:30,144 | 00:04:31,937 | 4 | Loves her fashion mags. |
| 56 | 00:04:32,021 | 00:04:33,563 | 4 | Will that be all for you, Truman? |
| 57 | 00:04:33,648 | 00:04:36,024 | 4 | That’s the whole kit and caboodle. Catch you later. |
| 58 | 00:04:36,109 | 00:04:38,151 | 4 | Okay. Yeah. |
| 59 | 00:04:45,201 | 00:04:46,660 | 4 | Good morning. |
| 60 | 00:04:47,870 | 00:04:49,830 | 4 | Hank. Morning, Truman. |
| 61 | 00:04:50,498 | 00:04:53,375 | 4 | Good morning, Truman. How are you guys? |
| 62 | 00:04:53,459 | 00:04:55,711 | 4 | Beautiful day, isn’t it? Always. |
| 63 | 00:04:55,795 | 00:04:57,421 | 4 | And how’s your lovely wife? |
| 64 | 00:04:58,631 | 00:05:00,424 | 4 | Good. How about yours? |
| 65 | 00:05:00,508 | 00:05:03,010 | 5 | Couldn’t be better. Fine. |
| 66 | 00:05:03,094 | 00:05:04,928 | 5 | Nice talking to you, Truman. You, too. |
| 67 | 00:05:05,013 | 00:05:06,138 | 5 | We must go now. |
| 68 | 00:05:06,222 | 00:05:09,850 | 5 | Think about that policy. Okay, that’s two for one. That’s a good deal. |
| 69 | 00:05:09,934 | 00:05:12,144 | 5 | Doppelg瓣nger special. Right. |
| 70 | 00:05:12,228 | 00:05:13,395 | 5 | Hi. |
| 71 | 00:05:16,024 | 00:05:18,608 | 5 | Hey, fellows. You going in? Go ahead. |
| 72 | 00:05:19,569 | 00:05:21,987 | 5 | Go ahead. No, you first, please. |
| 73 | 00:05:22,113 | 00:05:24,239 | 5 | I’m not that anxious to get there. |
| 74 | 00:05:39,213 | 00:05:40,380 | 5 | Yes, hello. |
| 75 | 00:05:40,465 | 00:05:44,009 | 5 | Could I have directory assistance for Fiji, please? Fiji islands. |
| 76 | 00:05:44,093 | 00:05:45,510 | 5 | Truman, did you see this? |
| 77 | 00:05:48,181 | 00:05:49,473 | 5 | I’m sorry, ma’am. |
| 78 | 00:05:49,557 | 00:05:52,559 | 5 | If he’s in a coma, he’s probably uninsurable. |
| 79 | 00:05:54,103 | 00:05:56,688 | 5 | Hello? Yes. Fiji, please. |
| 80 | 00:05:57,065 | 00:05:59,858 | 5 | Do you have a listing for Lauren Garland? |
| 81 | 00:06:01,069 | 00:06:02,611 | 6 | Nothing listed? |
| 82 | 00:06:03,696 | 00:06:06,782 | 6 | Okay. Do you have a Sylvia Garland? |
| 83 | 00:06:06,949 | 00:06:08,450 | 6 | “S” for Sylvia. |
| 84 | 00:06:09,952 | 00:06:11,161 | 6 | Nothing? |
| 85 | 00:06:13,122 | 00:06:14,748 | 6 | Okay. Thank you. |
| 86 | 00:06:50,618 | 00:06:52,536 | 6 | Lawrence. Hey, Burbank. |
| 87 | 00:06:52,620 | 00:06:56,039 | 6 | Got a prospect in Wells Park I need you to close. |
| 88 | 00:06:58,459 | 00:06:59,835 | 6 | Wells Park? |
| 89 | 00:07:02,839 | 00:07:05,966 | 7 | On Harbor Island? You know another one? |
| 90 | 00:07:06,050 | 00:07:09,886 | 7 | I can’t do it. I have an appointment. Dentist. |
| 91 | 00:07:12,265 | 00:07:16,059 | 7 | You’re going to lose a lot more than your teeth if you don’t meet your quota. |
| 92 | 00:07:16,144 | 00:07:17,727 | 7 | Look, Truman, |
| 93 | 00:07:17,937 | 00:07:20,439 | 7 | they’re making cutbacks at the end of this month. |
| 94 | 00:07:20,523 | 00:07:23,024 | 7 | Cutbacks? Yeah. Now, you need this. |
| 95 | 00:07:23,734 | 00:07:28,155 | 7 | Besides, a halfhour across the bay, a little sea air would do you good. |
| 96 | 00:07:29,532 | 00:07:30,740 | 7 | Thanks. |
| 97 | 00:07:40,251 | 00:07:41,418 | 7 | Hello. |
| 98 | 00:07:41,502 | 00:07:44,671 | 7 | Ferry’s still here. Thought I might have missed it. |
| 99 | 00:07:45,006 | 00:07:46,673 | 7 | Oneway or return? |
| 100 | 00:07:47,758 | 00:07:48,967 | 7 | Return. |
| 101 | 00:07:51,471 | 00:07:53,138 | 7 | There you go, sir. |
| 102 | 00:08:50,905 | 00:08:54,449 | 8 | Do you need any help, sir? You go ahead. I’ll be fine. |
| 103 | 00:08:56,077 | 00:08:57,285 | 8 | Yeah. |
| 104 | 00:09:10,800 | 00:09:12,133 | 9 | Hi, honey. |
| 105 | 00:09:13,803 | 00:09:16,304 | 9 | Look what I got free at the checkout. |
| 106 | 00:09:17,473 | 00:09:21,059 | 9 | It’s a Chef’s Pal. It’s a dicer, grater, peeler, all in one. |
| 107 | 00:09:21,143 | 00:09:23,895 | 9 | Never needs sharpening, dishwashersafe. |
| 108 | 00:09:23,980 | 00:09:24,980 | 9 | Wow! |
| 109 | 00:09:26,107 | 00:09:27,649 | 9 | That’s amazing. |
| 110 | 00:09:28,818 | 00:09:30,068 | 9 | Truman, |
| 111 | 00:09:31,612 | 00:09:33,280 | 9 | you missed a spot. |
| 112 | 00:09:47,503 | 00:09:49,045 | 9 | That is a beer. |
| 113 | 00:09:51,173 | 00:09:53,717 | 9 | You know, I’m thinking about getting out, Marlon. |
| 114 | 00:09:53,801 | 00:09:55,719 | 9 | Yeah? Out of what? |
| 115 | 00:09:56,012 | 00:09:58,346 | 9 | Out of my job, out of Seahaven. |
| 116 | 00:09:58,931 | 00:10:01,266 | 9 | Off this island. Out. Out of your job? |
| 117 | 00:10:01,350 | 00:10:04,436 | 10 | What the hell’s wrong with your job? You have a great job, Truman. |
| 118 | 00:10:04,520 | 00:10:07,939 | 10 | You have a desk job. I’d kill for a desk job. |
| 119 | 00:10:10,860 | 00:10:11,985 | 10 | Here you go. |
| 120 | 00:10:12,069 | 00:10:14,487 | 10 | You should try stocking vending machines for a living. |
| 121 | 00:10:14,572 | 00:10:17,198 | 10 | No, thanks. Now there’s excitement. |
| 122 | 00:10:17,867 | 00:10:20,493 | 10 | Don’t you ever get antsy? Itchy feet? |
| 123 | 00:10:22,038 | 00:10:23,830 | 10 | Where’s there to go? |
| 124 | 00:10:25,708 | 00:10:26,791 | 10 | Fiji. |
| 125 | 00:10:28,294 | 00:10:30,837 | 10 | Where the hell’s Fiji? Near Florida? |
| 126 | 00:10:36,427 | 00:10:37,802 | 10 | See here? Yeah. |
| 127 | 00:10:37,887 | 00:10:39,346 | 10 | This is us, |
| 128 | 00:10:41,349 | 00:10:43,558 | 10 | and all the way around here, |
| 129 | 00:10:44,143 | 00:10:45,226 | 10 | Fiji. |
| 130 | 00:10:46,145 | 00:10:49,898 | 10 | You can’t get any further away before you start coming back. |
| 131 | 00:10:50,107 | 00:10:52,859 | 10 | You know, there are still islands in Fiji |
| 132 | 00:10:52,943 | 00:10:54,986 | 10 | where no human being has ever set foot. |
| 133 | 00:10:58,157 | 00:11:00,367 | 10 | So when are you going to go? |
| 134 | 00:11:02,953 | 00:11:04,746 | 11 | It’s not that simple. |
| 135 | 00:11:05,790 | 00:11:07,916 | 11 | It takes money, |
| 136 | 00:11:08,918 | 00:11:10,210 | 11 | planning. |
| 137 | 00:11:10,711 | 00:11:12,587 | 11 | I can’t just up and go. |
| 138 | 00:11:13,422 | 00:11:14,589 | 11 | Right. |
| 139 | 00:11:15,299 | 00:11:18,218 | 11 | I’m going to do it. Don’t worry about that. |
| 140 | 00:11:18,928 | 00:11:21,513 | 11 | Bonus time is just around the corner. |
| 141 | 00:11:26,227 | 00:11:29,521 | 11 | You coming for a drink? No, I can’t tonight. |
| 142 | 00:11:48,958 | 00:11:52,419 | 11 | I don’t like the look of that weather, son. I think we should head back. |
| 143 | 00:11:52,503 | 00:11:55,046 | 11 | No, Dad. Not yet. No, come on. We should go back. |
| 144 | 00:11:55,131 | 00:11:57,674 | 11 | A bit farther, please? Son, listen. |
| 145 | 00:11:58,134 | 00:11:59,968 | 11 | Okay. Yes. |
| 146 | 00:12:02,054 | 00:12:03,805 | 12 | Daddy! |
| 147 | 00:13:18,798 | 00:13:21,382 | 13 | You’re soaked. Where have you been? |
| 148 | 00:13:21,467 | 00:13:23,676 | 13 | I figure we can scrape together $8,000… |
| 149 | 00:13:23,761 | 00:13:25,136 | 13 | Every time you and Marlon get together… |
| 150 | 00:13:25,221 | 00:13:27,305 | 13 | We can bum around the world for a year on that. |
| 151 | 00:13:27,389 | 00:13:31,142 | 13 | And then what, Truman? We’d be where we were five years ago. |
| 152 | 00:13:31,560 | 00:13:35,688 | 13 | You’re talking like a teenager. Maybe I feel like a teenager. |
| 153 | 00:13:36,273 | 00:13:38,733 | 13 | We have mortgage payments, Truman. |
| 154 | 00:13:39,026 | 00:13:40,401 | 13 | We have car payments. |
| 155 | 00:13:40,486 | 00:13:43,613 | 13 | What, we’re just going to walk away from our financial obligations? |
| 156 | 00:13:43,697 | 00:13:45,698 | 13 | It would be an adventure. |
| 157 | 00:13:46,158 | 00:13:50,829 | 13 | I thought we were going to try for a baby. Isn’t that enough of an adventure? |
| 158 | 00:13:51,747 | 00:13:54,249 | 13 | That can wait. I want to get away. |
| 159 | 00:13:54,333 | 00:13:57,085 | 13 | See some of the world, explore. |
| 160 | 00:13:57,169 | 00:14:00,088 | 13 | Honey, you want to be an explorer? |
| 161 | 00:14:01,465 | 00:14:02,924 | 14 | This’ll pass. |
| 162 | 00:14:04,009 | 00:14:06,553 | 14 | We all think like this now and then. |
| 163 | 00:14:08,973 | 00:14:11,766 | 14 | Let’s get you out of these wet clothes, |
| 164 | 00:14:12,268 | 00:14:13,685 | 14 | come to bed. |
| 165 | 00:14:15,020 | 00:14:17,981 | 14 | You never see anything anyway. They always |
| 166 | 00:14:18,065 | 00:14:20,984 | 14 | turn the camera and play music and, |
| 167 | 00:14:21,443 | 00:14:24,195 | 14 | you know, the wind blows in, and the curtains move |
| 168 | 00:14:24,280 | 00:14:25,697 | 14 | and you don’t see anything. |
| 169 | 00:14:30,703 | 00:14:32,954 | 14 | Dog Fancy, please. Dog Fancy. |
| 170 | 00:14:34,206 | 00:14:35,540 | 14 | Thank you. |
| 171 | 00:14:37,459 | 00:14:39,586 | 14 | Paper, Earl, please. Paper. |
| 172 | 00:14:41,171 | 00:14:44,549 | 14 | I might as well pick one of these up while I’m at it. |
| 173 | 00:14:44,675 | 00:14:47,302 | 14 | For the wife? She’s got to have them. |
| 174 | 00:14:47,928 | 00:14:50,972 | 14 | Anything else, Truman? That’s the whole ball of wax. |
| 175 | 00:14:51,473 | 00:14:53,391 | 14 | Catch you later. Okay. |
| 176 | 00:15:14,246 | 00:15:15,330 | 15 | Dad? |
| 177 | 00:15:18,667 | 00:15:20,376 | 15 | What are you doing? |
| 178 | 00:15:20,669 | 00:15:23,713 | 15 | What the… Get out of the way! |
| 179 | 00:15:24,006 | 00:15:25,340 | 15 | Stop them! |
| 180 | 00:15:27,843 | 00:15:29,510 | 15 | Stop those people! |
| 181 | 00:15:32,640 | 00:15:35,975 | 15 | Open the doors! Somebody, stop the bus! |
| 182 | 00:15:36,393 | 00:15:39,187 | 15 | Stop the bus! Somebody, stop it! |
| 183 | 00:15:40,105 | 00:15:42,273 | 15 | Somebody, stop the bus! |
| 184 | 00:15:55,746 | 00:15:58,665 | 15 | And wasn’t it funny… |
| 185 | 00:16:04,630 | 00:16:07,340 | 16 | It doesn’t sound insane at all, Truman. |
| 186 | 00:16:07,549 | 00:16:11,302 | 16 | I see him 10 times a week in 100 different faces. |
| 187 | 00:16:11,470 | 00:16:15,306 | 16 | I almost hugged a perfect stranger in the salon last Thursday. |
| 188 | 00:16:15,391 | 00:16:18,977 | 16 | It was Dad. I swear. Dressed like a homeless man. |
| 189 | 00:16:19,478 | 00:16:20,979 | 16 | And you know what else was strange? |
| 190 | 00:16:21,063 | 00:16:23,064 | 16 | A businessman and a woman with a little dog |
| 191 | 00:16:23,148 | 00:16:25,775 | 16 | came out of nowhere and forced him onto a bus. |
| 192 | 00:16:25,859 | 00:16:28,653 | 16 | It’s about time they cleaned up the trash downtown |
| 193 | 00:16:28,737 | 00:16:31,447 | 16 | before we become just like the rest of the country. |
| 194 | 00:16:31,532 | 00:16:34,075 | 16 | They never found Dad’s body. Maybe somehow… |
| 195 | 00:16:34,159 | 00:16:35,159 | 16 | God! |
| 196 | 00:16:35,244 | 00:16:38,538 | 16 | I’m telling you, if it wasn’t him, it was his twin. |
| 197 | 00:16:39,999 | 00:16:44,043 | 16 | Did Dad have a brother? Truman, you know perfectly well |
| 198 | 00:16:44,420 | 00:16:48,798 | 16 | that your father was an only child, just like you. |
| 199 | 00:16:51,510 | 00:16:53,052 | 16 | Now, sweetie, |
| 200 | 00:16:53,721 | 00:16:56,889 | 16 | you’re just feeling bad because of what happened. |
| 201 | 00:16:58,142 | 00:17:01,102 | 16 | You, sailing off into that storm. |
| 202 | 00:17:04,273 | 00:17:06,774 | 17 | But I’ve never blamed you, Truman, |
| 203 | 00:17:07,901 | 00:17:09,944 | 17 | and I don’t blame you now. |
| 204 | 00:17:56,200 | 00:17:57,408 | 17 | Truman? |
| 205 | 00:18:01,455 | 00:18:03,664 | 18 | What are you doing down here? |
| 206 | 00:18:05,167 | 00:18:06,793 | 18 | Fixing the mower. |
| 207 | 00:18:10,464 | 00:18:12,673 | 18 | Saw my father today. I know. |
| 208 | 00:18:16,011 | 00:18:17,762 | 18 | Your mother called. |
| 209 | 00:18:19,598 | 00:18:22,391 | 18 | You really shouldn’t upset her like that. |
| 210 | 00:18:22,559 | 00:18:25,061 | 18 | Did you want… What did you want? |
| 211 | 00:18:25,437 | 00:18:27,021 | 18 | I made macaroni. |
| 212 | 00:18:27,689 | 00:18:29,190 | 18 | I’m not hungry. |
| 213 | 00:18:30,025 | 00:18:33,653 | 18 | You know, you really ought to throw out that mower. |
| 214 | 00:18:34,822 | 00:18:37,240 | 18 | Get one of those new Elk Rotaries. |
| 215 | 00:19:13,819 | 00:19:15,403 | 19 | What’s he doing? |
| 216 | 00:19:15,529 | 00:19:18,489 | 19 | See, they got rid of her, but they couldn’t erase the memory. |
| 217 | 00:19:18,574 | 00:19:20,241 | 19 | The memory of who? |
| 218 | 00:20:12,961 | 00:20:15,296 | 20 | You okay? You all right? Excuse me. Hi. |
| 219 | 00:20:15,380 | 00:20:17,632 | 20 | Hi. I’m so sorry I fell on you like that. |
| 220 | 00:20:17,716 | 00:20:20,843 | 20 | It’s okay. I’ve just been such a klutz all day. |
| 221 | 00:20:20,928 | 00:20:22,428 | 20 | It’s all right. |
| 222 | 00:20:22,512 | 00:20:25,556 | 20 | Sprained this ankle. Oh, my goodness. I’m so sorry. |
| 223 | 00:20:25,641 | 00:20:29,518 | 20 | I’m so sorry to fall on you like that. That’s all right. Don’t worry about it. |
| 224 | 00:20:29,603 | 00:20:31,979 | 20 | I’m Meryl. Hi, I’m Truman. |
| 225 | 00:20:32,064 | 00:20:33,522 | 20 | Hey, nice to meet you. |
| 226 | 00:21:59,151 | 00:22:03,529 | 21 | Truman, you’ve studied enough. No. I got to commit this to memory. |
| 227 | 00:22:03,739 | 00:22:05,573 | 22 | Come on, Truman, one icecold brewski. |
| 228 | 00:22:05,657 | 00:22:06,907 | 22 | Come on. |
| 229 | 00:22:07,451 | 00:22:10,745 | 22 | You’re going to have to copy off me, so be careful. |
| 230 | 00:22:13,332 | 00:22:15,374 | 22 | You’re a better person than I am. |
| 231 | 00:22:15,459 | 00:22:16,709 | 22 | See you later. Okay. |
| 232 | 00:22:16,793 | 00:22:18,169 | 22 | Bye. Bye. |
| 233 | 00:22:19,004 | 00:22:20,796 | 22 | See you later, loser. |
| 234 | 00:23:21,566 | 00:23:22,608 | 23 | Hi. |
| 235 | 00:23:27,531 | 00:23:30,408 | 23 | Konnichiwa. What? |
| 236 | 00:23:31,034 | 00:23:32,701 | 23 | You take Japanese. |
| 237 | 00:23:33,829 | 00:23:35,162 | 23 | Yes. |
| 238 | 00:23:38,250 | 00:23:39,750 | 23 | Lauren, right? |
| 239 | 00:23:40,293 | 00:23:41,460 | 23 | It’s on the… |
| 240 | 00:23:43,171 | 00:23:44,672 | 23 | Lauren. Right. |
| 241 | 00:23:46,091 | 00:23:47,842 | 23 | I’m Truman Burbank. |
| 242 | 00:23:48,343 | 00:23:50,553 | 23 | Yeah, I know. |
| 243 | 00:23:51,513 | 00:23:54,098 | 23 | You know, Truman, I’m not allowed to talk to you. |
| 244 | 00:23:54,182 | 00:23:55,391 | 23 | Really? |
| 245 | 00:23:58,186 | 00:24:01,814 | 23 | Yeah. I can understand that. I’m a pretty dangerous character. |
| 246 | 00:24:01,898 | 00:24:04,108 | 24 | I’m sorry. It’s not up to me. |
| 247 | 00:24:04,985 | 00:24:07,069 | 24 | A girl’s got to be careful. |
| 248 | 00:24:09,906 | 00:24:13,033 | 24 | You have a boyfriend, right? No, it’s not that. |
| 249 | 00:24:13,118 | 00:24:16,662 | 24 | Was it Meryl, that girl that was with me? We’re not… We don’t… |
| 250 | 00:24:17,581 | 00:24:19,165 | 24 | We’re just friends. |
| 251 | 00:24:19,249 | 00:24:21,917 | 24 | It’s nothing like that. It’s how I look? |
| 252 | 00:24:22,002 | 00:24:23,502 | 24 | Not your type? |
| 253 | 00:24:24,504 | 00:24:25,546 | 24 | No. |
| 254 | 00:24:27,549 | 00:24:28,549 | 24 | I like your pin. |
| 255 | 00:24:29,759 | 00:24:31,886 | 24 | I was wondering that myself. |
| 256 | 00:24:33,388 | 00:24:35,890 | 24 | Would you want to maybe, possibly, |
| 257 | 00:24:36,433 | 00:24:39,935 | 24 | sometime go out for some pizza or something? |
| 258 | 00:24:40,187 | 00:24:41,645 | 24 | Like, Friday? |
| 259 | 00:24:42,772 | 00:24:44,106 | 24 | Saturday? I can’t. |
| 260 | 00:24:44,191 | 00:24:46,150 | 24 | Sunday, Monday, Tuesday? |
| 261 | 00:24:50,572 | 00:24:53,240 | 24 | We have finals tomorrow. Yeah, I know. |
| 262 | 00:24:54,409 | 00:24:56,911 | 24 | If we don’t go now, it won’t happen. |
| 263 | 00:24:57,913 | 00:25:01,457 | 24 | Do you understand? So what do you want to do? |
| 264 | 00:25:35,951 | 00:25:38,619 | 25 | Please keep your hands inside the car! |
| 265 | 00:25:55,929 | 00:25:58,389 | 25 | This is my favorite pizza place. |
| 266 | 00:25:58,473 | 00:25:59,515 | 25 | Tony! |
| 267 | 00:25:59,641 | 00:26:01,642 | 25 | One large, extra plankton. |
| 268 | 00:26:02,394 | 00:26:05,771 | 26 | We have so little time. They’re going to be here any minute. |
| 269 | 00:26:05,897 | 00:26:08,816 | 26 | Who are? They don’t want me talking to you. |
| 270 | 00:26:09,317 | 00:26:10,943 | 26 | Then don’t talk. |
| 271 | 00:26:25,166 | 00:26:26,667 | 26 | They’re here. |
| 272 | 00:26:27,961 | 00:26:29,503 | 26 | Truman. What do they want? |
| 273 | 00:26:29,588 | 00:26:31,714 | 26 | Listen to me. Everybody knows about you. |
| 274 | 00:26:31,798 | 00:26:33,507 | 26 | Everybody knows everything you do. |
| 275 | 00:26:33,592 | 00:26:35,593 | 26 | They’re pretending, Truman. Do you understand? |
| 276 | 00:26:35,677 | 00:26:37,261 | 26 | Everybody’s pretending. I don’t know. |
| 277 | 00:26:37,345 | 00:26:39,263 | 26 | No, my name’s not Lauren. It’s Sylvia. |
| 278 | 00:26:39,347 | 00:26:40,639 | 26 | My name’s Sylvia. Sylvia? |
| 279 | 00:26:40,724 | 00:26:43,100 | 26 | Yeah. Lauren, sweetheart, not again. |
| 280 | 00:26:43,184 | 00:26:46,103 | 26 | Wait a minute. Who are you? I’m her father. |
| 281 | 00:26:46,354 | 00:26:49,106 | 26 | I’ve never even seen him before. We weren’t doing anything. |
| 282 | 00:26:49,190 | 00:26:51,942 | 26 | He’s lying. Truman, please don’t listen to him. |
| 283 | 00:26:52,027 | 00:26:56,780 | 26 | Everything I’ve told you is the truth. This, it’s fake. It’s all for you. |
| 284 | 00:26:56,865 | 00:26:59,700 | 26 | I don’t understand. The sky and sea, everything, it’s a set. |
| 285 | 00:26:59,784 | 00:27:00,784 | 26 | It’s a show. |
| 286 | 00:27:00,869 | 00:27:03,245 | 27 | Everybody’s watching you. Please don’t listen to him. |
| 287 | 00:27:03,330 | 00:27:05,456 | 27 | He’s going to lie to you. They’re watching us now. |
| 288 | 00:27:05,540 | 00:27:08,542 | 27 | I want to know what’s going on. Schizophrenia. She has episodes. |
| 289 | 00:27:08,627 | 00:27:09,960 | 27 | We’ve tried everything. |
| 290 | 00:27:10,045 | 00:27:13,380 | 27 | Hypnotism, shock therapy. Don’t worry. |
| 291 | 00:27:13,465 | 00:27:15,507 | 27 | Truman! You’re not the first. |
| 292 | 00:27:15,592 | 00:27:18,969 | 27 | You’re not the first. She brings all her boyfriends down here. |
| 293 | 00:27:19,054 | 00:27:21,639 | 27 | What’s he saying? Truman, he’s lying. |
| 294 | 00:27:22,557 | 00:27:24,892 | 27 | Get out of here. Come and find me. Don’t worry. |
| 295 | 00:27:24,976 | 00:27:28,437 | 27 | We’re going to Fiji. Fiji. We’re moving to Fiji. |
| 296 | 00:27:28,521 | 00:27:29,605 | 27 | Fiji? |
| 297 | 00:27:41,576 | 00:27:42,785 | 27 | Sylvia! |
| 298 | 00:27:42,869 | 00:27:43,869 | 27 | Hey! |
| 299 | 00:27:53,463 | 00:27:55,923 | 27 | Why didn’t he just follow her to Fiji? |
| 300 | 00:27:56,007 | 00:28:00,469 | 27 | His mother got sick, really sick. He couldn’t leave her. He’s kind. |
| 301 | 00:28:00,553 | 00:28:02,304 | 28 | Maybe he’s too kind. |
| 302 | 00:28:02,889 | 00:28:05,516 | 28 | I can’t believe he married Meryl on the rebound. |
| 303 | 00:28:05,600 | 00:28:06,934 | 28 | Excuse me. |
| 304 | 00:28:07,060 | 00:28:08,310 | 28 | Come on, Sal. |
| 305 | 00:28:08,395 | 00:28:11,480 | 28 | We’ve already got this on the greatest hits tape. |
| 306 | 00:28:11,564 | 00:28:12,606 | 28 | Can I borrow that? |
| 307 | 00:28:59,654 | 00:29:01,572 | 28 | Close, but no cigar. |
| 308 | 00:29:29,934 | 00:29:32,603 | 29 | And it’s another beautifui day in paradise, folks, |
| 309 | 00:29:32,687 | 00:29:35,439 | 29 | but don’t forget to buckle up out there in radioland. |
| 310 | 00:29:35,523 | 00:29:37,649 | 29 | Remember, a good driver… |
| 311 | 00:29:46,493 | 00:29:48,118 | 29 | …wait for the cue. |
| 312 | 00:29:49,913 | 00:29:51,413 | 29 | Stand by, one. |
| 313 | 00:29:52,040 | 00:29:53,832 | 29 | Countdown to action. |
| 314 | 00:29:53,958 | 00:29:55,459 | 29 | Stand by, one. |
| 315 | 00:29:58,463 | 00:30:01,507 | 29 | He’s heading west on Stewart. Stand by, all extras. |
| 316 | 00:30:01,591 | 00:30:05,928 | 30 | He’ll be on you in about 90 seconds. Props, make sure the coffee’s hot. |
| 317 | 00:30:06,054 | 00:30:09,223 | 30 | Okay, he’s making his turn onto Lancaster Square. |
| 318 | 00:30:11,810 | 00:30:13,560 | 30 | Oh, my God! He nearly hit her. |
| 319 | 00:30:13,645 | 00:30:15,813 | 30 | Something’s wrong. Change frequencies. |
| 320 | 00:30:21,194 | 00:30:22,903 | 30 | Sorry about that, folks. |
| 321 | 00:30:22,987 | 00:30:25,322 | 30 | I guess we picked up a police frequency or something. |
| 322 | 00:30:25,406 | 00:30:28,325 | 30 | It sometimes happens, and it can drive you crazy. |
| 323 | 00:30:28,409 | 00:30:30,536 | 30 | Okay, it’s Classical Clive back in here |
| 324 | 00:30:30,620 | 00:30:33,163 | 30 | and we’ve still got some great music up ahead, |
| 325 | 00:30:33,248 | 00:30:34,498 | 30 | but don’t forget to buckle up. |
| 326 | 00:30:34,582 | 00:30:37,209 | 30 | Remember safety. A good driver is a safe driver. |
| 327 | 00:30:37,293 | 00:30:39,419 | 30 | A safe driver is what? Yes… |
| 328 | 00:30:55,395 | 00:30:56,937 | 30 | Morning, ma’am. |
| 329 | 00:32:36,704 | 00:32:39,039 | 32 | I love that idea. It’s pretty cool, isn’t it? |
| 330 | 00:33:43,563 | 00:33:44,771 | 33 | Can I help? |
| 331 | 00:33:44,856 | 00:33:47,232 | 33 | Yeah. I have an appointment at Gable Enterprises. |
| 332 | 00:33:47,316 | 00:33:48,775 | 33 | They went bust. |
| 333 | 00:33:53,906 | 00:33:55,991 | 33 | What’s happening? Nothing. |
| 334 | 00:33:56,075 | 00:33:59,202 | 33 | Just tell me what’s happening. Got to go, sir. We’re remodeling. |
| 335 | 00:33:59,287 | 00:34:01,288 | 33 | No, you’re not. What are those people doing? |
| 336 | 00:34:01,372 | 00:34:03,081 | 34 | It’s none of your business! |
| 337 | 00:34:03,166 | 00:34:05,625 | 34 | If you don’t tell me what’s happening, I’ll report you! |
| 338 | 00:34:05,710 | 00:34:07,461 | 34 | You’re trespassing. |
| 339 | 00:34:38,743 | 00:34:39,951 | 34 | Marlon. |
| 340 | 00:34:40,495 | 00:34:43,246 | 34 | Truman. What are you doing here? I got to talk to you. |
| 341 | 00:34:43,331 | 00:34:45,207 | 34 | It’s a bad time, okay? I’m way behind. |
| 342 | 00:34:45,291 | 00:34:47,834 | 34 | I’m onto something, Marlon. Something big. |
| 343 | 00:34:47,960 | 00:34:51,004 | 34 | You okay? You look like shit. I think I’m mixed up in something. |
| 344 | 00:34:51,089 | 00:34:52,130 | 34 | Mixed up in what? |
| 345 | 00:34:52,215 | 00:34:53,965 | 34 | There’s no point trying to explain it, |
| 346 | 00:34:54,050 | 00:34:57,177 | 34 | but a lot of strange things have been happening. |
| 347 | 00:35:00,556 | 00:35:04,267 | 35 | The people on the elevator. There was no backing on it. |
| 348 | 00:35:04,352 | 00:35:06,895 | 35 | I looked out. There was people there. |
| 349 | 00:35:06,979 | 00:35:10,190 | 35 | And on the radio on the way to work, it starts following me along, |
| 350 | 00:35:10,274 | 00:35:11,983 | 35 | talking about everything that I’m doing. |
| 351 | 00:35:12,068 | 00:35:14,736 | 35 | Know what I mean? Truman, this is one of your fantasies… |
| 352 | 00:35:14,821 | 00:35:16,238 | 35 | I think this is about my dad. |
| 353 | 00:35:16,322 | 00:35:18,532 | 35 | Your dad? I think he’s alive. |
| 354 | 00:35:19,367 | 00:35:23,411 | 35 | Yeah. I’ll tell you about it later. I’m definitely being followed. |
| 355 | 00:35:23,871 | 00:35:24,913 | 35 | Who? |
| 356 | 00:35:26,707 | 00:35:30,168 | 35 | It’s hard to tell. They look just like regular people. |
| 357 | 00:35:33,506 | 00:35:37,092 | 35 | How about those two? I don’t know. Could be. |
| 358 | 00:35:38,094 | 00:35:41,888 | 35 | It’s when I’m unpredictable, that’s… They can’t, you know. |
| 359 | 00:35:43,224 | 00:35:45,684 | 35 | Did anything happen? No. |
| 360 | 00:35:46,144 | 00:35:47,978 | 35 | We gotta get out of here. You ready to go? |
| 361 | 00:35:48,062 | 00:35:49,938 | 35 | No. I just came here. Come on. |
| 362 | 00:35:50,022 | 00:35:51,731 | 35 | I told you I can’t. |
| 363 | 00:35:55,403 | 00:35:57,904 | 35 | You’re going to get both our asses fired, you know that? |
| 364 | 00:35:57,989 | 00:36:00,157 | 35 | Okay, man, let’s do it. What? |
| 365 | 00:36:00,241 | 00:36:02,367 | 36 | Whatever you say, I’m game. |
| 366 | 00:36:02,451 | 00:36:04,953 | 36 | What are you talking about? Yes, sirree. |
| 367 | 00:36:05,079 | 00:36:07,581 | 36 | Your birthday comes but once a year. |
| 368 | 00:36:10,668 | 00:36:13,253 | 36 | Maybe I’m being set up for something. |
| 369 | 00:36:13,754 | 00:36:15,505 | 36 | You ever think about that, Marlon? |
| 370 | 00:36:15,590 | 00:36:18,675 | 36 | Like your whole life has been building toward something? |
| 371 | 00:36:18,759 | 00:36:19,759 | 36 | No. |
| 372 | 00:36:22,180 | 00:36:24,806 | 36 | When you were hauling chickens in the summer for Kaiser, |
| 373 | 00:36:24,891 | 00:36:27,434 | 36 | what was the furthest you ever got off the island? |
| 374 | 00:36:27,518 | 00:36:30,979 | 36 | Went all over. Never found a place like this, though. |
| 375 | 00:36:32,481 | 00:36:35,317 | 36 | Look at that sunset, Truman. It’s perfect. |
| 376 | 00:36:36,194 | 00:36:37,277 | 36 | Yeah. |
| 377 | 00:36:38,279 | 00:36:39,988 | 36 | That’s the big guy. |
| 378 | 00:36:40,865 | 00:36:43,909 | 36 | Quite a paintbrush he’s got. Yep. |
| 379 | 00:36:48,039 | 00:36:50,457 | 36 | Just between you and me, Marlon, |
| 380 | 00:36:52,001 | 00:36:54,127 | 36 | I’m going away for a while. |
| 381 | 00:36:55,338 | 00:36:57,631 | 36 | Really? Yeah. |
| 382 | 00:36:59,634 | 00:37:01,092 | 36 | Little angel. |
| 383 | 00:37:07,558 | 00:37:09,142 | 37 | My little clown. |
| 384 | 00:37:11,395 | 00:37:12,938 | 37 | Old carrot top. |
| 385 | 00:37:13,648 | 00:37:15,315 | 37 | The best of both of us. |
| 386 | 00:37:17,109 | 00:37:19,653 | 37 | We should be getting you home, Mother. |
| 387 | 00:37:19,737 | 00:37:23,198 | 37 | Hold on a minute. Here’s us at Mt. Rushmore. |
| 388 | 00:37:23,282 | 00:37:25,575 | 37 | Do you remember, Truman, when Dad was still with us? |
| 389 | 00:37:25,660 | 00:37:29,120 | 37 | That was quite a drive. You slept the whole way there. |
| 390 | 00:37:29,872 | 00:37:31,498 | 37 | It looks so small. |
| 391 | 00:37:31,582 | 00:37:33,833 | 37 | Things always do when you look back, darling. |
| 392 | 00:37:33,918 | 00:37:35,377 | 37 | Look, Truman. |
| 393 | 00:37:35,711 | 00:37:38,255 | 37 | The happiest day of our lives. Look. |
| 394 | 00:37:40,925 | 00:37:43,093 | 37 | Jean, Jodie, Joanne. |
| 395 | 00:37:43,177 | 00:37:45,679 | 37 | Doesn’t she look beautiful, Truman? |
| 396 | 00:37:46,639 | 00:37:48,223 | 37 | She still does. |
| 397 | 00:37:48,307 | 00:37:51,017 | 37 | And there’s lots of pages left over for baby photos. |
| 398 | 00:37:51,102 | 00:37:54,688 | 37 | I would like to hold a grandchild in my arms before I go. |
| 399 | 00:37:55,523 | 00:37:57,440 | 37 | Angela, we really should be getting you home. |
| 400 | 00:37:57,525 | 00:38:00,026 | 37 | I’ll take her. No. You stay, relax. |
| 401 | 00:38:00,111 | 00:38:01,820 | 38 | Enjoy yourself. Your favorite show will be coming on. |
| 402 | 00:38:01,904 | 00:38:02,946 | 38 | You sure? |
| 403 | 00:38:03,030 | 00:38:04,948 | 38 | Besides, we have something to discuss. |
| 404 | 00:38:05,908 | 00:38:09,536 | 38 | A certain person’s birthday. I see. |
| 405 | 00:38:11,122 | 00:38:14,624 | 38 | And there’ll be another episode of I Love Lucy same time tomorrow. |
| 406 | 00:38:14,709 | 00:38:17,544 | 38 | But right now, it’s time for Golden Oldies. |
| 407 | 00:38:17,628 | 00:38:20,297 | 38 | Tonight, we present the enduring, muchloved classic, |
| 408 | 00:38:20,381 | 00:38:22,465 | 38 | Show Me the Way to Go Home. |
| 409 | 00:38:22,550 | 00:38:24,759 | 38 | A hymn of praise to smalltown life, |
| 410 | 00:38:24,844 | 00:38:27,137 | 38 | where we learn that you don’t have to leave home |
| 411 | 00:38:27,221 | 00:38:31,850 | 38 | to discover what the world’s all about, and that no one is poor who has friends. |
| 412 | 00:38:32,476 | 00:38:36,855 | 38 | Full of laughter and love, pain and sadness, but ultimateiy redemption, |
| 413 | 00:38:36,939 | 00:38:39,649 | 38 | we share the trials and tribulations of the Abbott family. |
| 414 | 00:38:39,734 | 00:38:42,652 | 38 | Note the touching performance of Ronald Brierly as Uncle Bunny. |
| 415 | 00:38:42,737 | 00:38:45,322 | 38 | That scene with the bowl of cherries is going to have you |
| 416 | 00:38:45,406 | 00:38:48,325 | 38 | splitting your sides with laughter all over again. |
| 417 | 00:38:48,409 | 00:38:52,370 | 38 | And there’ll be tears, too, when David and Jennifer are reunited. |
| 418 | 00:38:52,455 | 00:38:56,291 | 38 | But enough from me. Let’s join the Abbotts in Camden village. |
| 419 | 00:39:23,652 | 00:39:25,403 | 39 | Thank you, sweetie. |
| 420 | 00:39:29,283 | 00:39:32,619 | 39 | I need to talk to you, but let’s go outside. |
| 421 | 00:39:33,412 | 00:39:37,457 | 39 | Sweetie, I’d love to, but I’m really late. What’s your rush? |
| 422 | 00:39:38,667 | 00:39:39,876 | 39 | Surgery. |
| 423 | 00:39:39,960 | 00:39:43,421 | 39 | There was that elevator disaster downtown. It was on the news last night. |
| 424 | 00:39:43,506 | 00:39:45,215 | 39 | This cable just snapped. |
| 425 | 00:39:45,299 | 00:39:47,842 | 39 | This elevator, it just plummeted down 10 flights. |
| 426 | 00:39:47,927 | 00:39:50,387 | 39 | The nonunion workers. Just monsters. |
| 427 | 00:39:50,471 | 00:39:53,098 | 39 | That building, it’s right next door to where you work. |
| 428 | 00:39:53,182 | 00:39:55,183 | 39 | Can you imagine if you had been in there? |
| 429 | 00:39:55,267 | 00:39:56,810 | 39 | It’s not even worth thinking about. |
| 430 | 00:39:56,894 | 00:39:59,813 | 39 | Anyway, I have an amputation on one of the young women |
| 431 | 00:39:59,897 | 00:40:03,400 | 39 | who was in that elevator. She’s very young. It’s very sad. |
| 432 | 00:40:03,484 | 00:40:06,945 | 40 | Anyway, wish me luck. I’ll cross my fingers for you. |
| 433 | 00:40:49,238 | 00:40:52,407 | 40 | Excuse me. Hi. Excuse me. May I help you? |
| 434 | 00:40:54,076 | 00:40:58,204 | 40 | Yes. I’m looking for my wife, Nurse Burbank. It’s very important. |
| 435 | 00:40:58,289 | 00:41:01,666 | 40 | I’m afraid that that’s not possible. She’s in preop. |
| 436 | 00:41:02,460 | 00:41:05,044 | 41 | Sure. Okay, fine. |
| 437 | 00:41:05,463 | 00:41:08,131 | 41 | Can you pass along a message? I’ll try. |
| 438 | 00:41:08,215 | 00:41:11,968 | 41 | Can you tell her I had to go to Fiji, and that I’ll call her when I get there? |
| 439 | 00:41:12,052 | 00:41:15,722 | 41 | When you get to Fiji? You got it. |
| 440 | 00:41:15,806 | 00:41:19,267 | 41 | Fine. I’ll tell her. Thank you so much. |
| 441 | 00:41:46,045 | 00:41:47,921 | 41 | Sorry. It’s okay. |
| 442 | 00:41:49,173 | 00:41:51,508 | 41 | Here, let me help you with that. |
| 443 | 00:41:55,846 | 00:41:57,180 | 41 | He’s here. |
| 444 | 00:41:59,391 | 00:42:00,600 | 41 | I know. |
| 445 | 00:42:01,602 | 00:42:02,852 | 42 | Scalpel. |
| 446 | 00:42:09,527 | 00:42:13,196 | 42 | I’m now making my primary incision |
| 447 | 00:42:13,822 | 00:42:16,866 | 42 | just above the right knee. |
| 448 | 00:42:19,870 | 00:42:20,870 | 42 | Hold her. |
| 449 | 00:42:21,956 | 00:42:23,331 | 42 | Nicely done. |
| 450 | 00:42:23,874 | 00:42:26,709 | 42 | This isn’t going to be pretty. Unless you’re family… |
| 451 | 00:42:26,794 | 00:42:29,295 | 42 | It’s just beautiful. Beautiful job. |
| 452 | 00:42:31,215 | 00:42:33,800 | 42 | I’ll just let someone else tidy up here. |
| 453 | 00:42:58,325 | 00:43:00,827 | 42 | I’m sorry to keep you. That’s okay. |
| 454 | 00:43:02,871 | 00:43:06,666 | 43 | How can I help? I would like to book a flight to Fiji. |
| 455 | 00:43:08,836 | 00:43:11,045 | 43 | When would you like to leave? |
| 456 | 00:43:12,006 | 00:43:13,172 | 43 | Today. |
| 457 | 00:43:30,941 | 00:43:34,569 | 43 | I’m sorry. I don’t have anything for at least a month. |
| 458 | 00:43:35,029 | 00:43:37,530 | 43 | A month? It’s the busy season. |
| 459 | 00:43:39,825 | 00:43:41,951 | 43 | You want to book the flight? |
| 460 | 00:43:42,786 | 00:43:46,497 | 43 | It doesn’t matter. I’ll make other arrangements, okay? |
| 461 | 00:43:49,710 | 00:43:52,629 | 43 | Last call for Chicago! |
| 462 | 00:43:52,963 | 00:43:55,381 | 43 | All aboard! |
| 463 | 00:44:00,512 | 00:44:01,846 | 44 | Thank you. |
| 464 | 00:44:04,725 | 00:44:06,726 | 44 | Windy city, here we come. |
| 465 | 00:44:08,854 | 00:44:10,063 | 44 | Hi. Hi. |
| 466 | 00:44:13,609 | 00:44:15,401 | 44 | Hello. Hi. |
| 467 | 00:44:17,404 | 00:44:18,446 | 44 | Sisters. |
| 468 | 00:44:18,530 | 00:44:22,241 | 44 | Mom, isn’t that… Face the front. |
| 469 | 00:44:49,687 | 00:44:52,188 | 44 | Everybody off. We’ve got a problem. |
| 470 | 00:45:11,750 | 00:45:13,292 | 45 | I’m sorry, son. |
| 471 | 00:45:27,141 | 00:45:29,851 | 45 | His father was from Chicago, wasn’t he? |
| 472 | 00:45:30,102 | 00:45:33,813 | 45 | No. His dentist was from Pensacola. His father was from Des Moines. |
| 473 | 00:45:33,897 | 00:45:35,982 | 45 | But how come he wants to go to Chicago? |
| 474 | 00:45:36,066 | 00:45:38,693 | 45 | He’s not going to Chicago. He’s not going anywhere. |
| 475 | 00:45:38,777 | 00:45:40,862 | 45 | He has to have it out with Meryl. |
| 476 | 00:45:56,837 | 00:45:58,004 | 45 | Truman? |
| 477 | 00:46:03,302 | 00:46:06,512 | 46 | Honey, are you okay? Get in. |
| 478 | 00:46:10,184 | 00:46:11,392 | 46 | Truman. |
| 479 | 00:46:12,686 | 00:46:13,811 | 46 | Look. |
| 480 | 00:46:17,399 | 00:46:18,566 | 46 | What? |
| 481 | 00:46:19,735 | 00:46:22,361 | 46 | I predict that in just a moment, |
| 482 | 00:46:24,031 | 00:46:28,201 | 46 | we will see a lady on a red bike, followed by a man with flowers |
| 483 | 00:46:29,161 | 00:46:32,205 | 46 | and a Volkswagen Beetle with a dented fender. |
| 484 | 00:46:32,539 | 00:46:34,624 | 46 | Truman, please. Look. |
| 485 | 00:46:40,422 | 00:46:41,631 | 46 | Lady, |
| 486 | 00:46:43,133 | 00:46:44,467 | 46 | flowers, |
| 487 | 00:46:46,178 | 00:46:47,762 | 46 | and… |
| 488 | 00:46:50,224 | 00:46:53,142 | 46 | Truman, this is silly. There it is! |
| 489 | 00:46:53,227 | 00:46:55,561 | 46 | There’s that dented Beetle! Yes! |
| 490 | 00:47:02,945 | 00:47:05,571 | 47 | Don’t you want to know how I did that? I’ll tell you. |
| 491 | 00:47:05,656 | 00:47:08,074 | 47 | They’re on a loop. They go around the block. |
| 492 | 00:47:08,158 | 00:47:11,994 | 47 | They come back. They go around again. They just go round and round. |
| 493 | 00:47:12,079 | 00:47:13,454 | 47 | Round and round. |
| 494 | 00:47:13,539 | 00:47:15,873 | 47 | I invited Rita and Marlon for a barbecue on Sunday. |
| 495 | 00:47:15,958 | 00:47:18,417 | 47 | I’m gonna make my potato salad. I won’t be here Sunday. |
| 496 | 00:47:18,502 | 00:47:20,461 | 47 | I need you to remind me we need more charcoal. |
| 497 | 00:47:20,546 | 00:47:23,422 | 47 | Are you listening to a word I’m saying? |
| 498 | 00:47:25,425 | 00:47:28,928 | 47 | You’re upset because you want to go to Fiji. Is that it? |
| 499 | 00:47:31,390 | 00:47:32,807 | 47 | Okay, go. |
| 500 | 00:47:35,060 | 00:47:38,771 | 47 | I think you should save for a few months, and then go. |
| 501 | 00:47:39,565 | 00:47:41,607 | 47 | There. Are you happy now? |
| 502 | 00:47:42,442 | 00:47:43,776 | 47 | I’m going to go take a shower. |
| 503 | 00:47:46,321 | 00:47:47,864 | 47 | Let’s go now. |
| 504 | 00:47:48,282 | 00:47:50,992 | 47 | I’m ready to go now. Why wait? Early bird gathers no moss. |
| 505 | 00:47:51,076 | 00:47:53,703 | 47 | Rolling stone catches the worm, right? |
| 506 | 00:47:55,539 | 00:47:57,874 | 47 | Truman, what are you doing? |
| 507 | 00:48:02,004 | 00:48:03,212 | 48 | Truman! |
| 508 | 00:48:03,797 | 00:48:07,133 | 48 | Where shall we go? |
| 509 | 00:48:08,510 | 00:48:10,720 | 48 | Truman, where are we going? I don’t really know. |
| 510 | 00:48:10,804 | 00:48:13,055 | 48 | I guess I’m being spontaneous. |
| 511 | 00:48:13,640 | 00:48:17,018 | 48 | Somebody, help me! I’m being spontaneous! |
| 512 | 00:48:18,020 | 00:48:19,562 | 48 | Forget Fiji. |
| 513 | 00:48:19,646 | 00:48:22,565 | 48 | Can’t very well drive to Fiji, can we? No. |
| 514 | 00:48:24,610 | 00:48:28,863 | 48 | What about Atlantic City? No, you hate to gamble. |
| 515 | 00:48:28,947 | 00:48:31,949 | 48 | That’s right, I do, don’t I? So why would you want to go there? |
| 516 | 00:48:32,034 | 00:48:36,245 | 48 | Because I never have. That’s why people go places, isn’t it? |
| 517 | 00:48:36,997 | 00:48:40,833 | 48 | Truman, I think I’m going to throw up. Me, too. |
| 518 | 00:48:49,259 | 00:48:51,636 | 48 | Blocked at every turn. |
| 519 | 00:48:52,804 | 00:48:54,639 | 48 | Beautifully synchronized, don’t you agree? |
| 520 | 00:48:54,723 | 00:48:57,725 | 48 | You’re blaming me for the traffic? Should I? |
| 521 | 00:49:04,691 | 00:49:08,110 | 49 | Truman, let’s go home. |
| 522 | 00:49:09,029 | 00:49:12,239 | 49 | You’re right. We could be stuck here for hours. |
| 523 | 00:49:12,324 | 00:49:14,659 | 49 | It could be like this all the way to Atlantic City. |
| 524 | 00:49:14,743 | 00:49:16,243 | 49 | Let’s go back. |
| 525 | 00:49:17,496 | 00:49:20,289 | 49 | I’m sorry. I don’t know what got into me. |
| 526 | 00:49:24,002 | 00:49:26,003 | 49 | Can you please slow down? |
| 527 | 00:49:26,922 | 00:49:28,297 | 49 | Yes, I can. |
| 528 | 00:49:30,133 | 00:49:33,594 | 49 | Truman, that’s our turnoff. I changed my mind again. |
| 529 | 00:49:33,679 | 00:49:37,098 | 49 | What’s New Orleans like this time of year? Mardi Gras! |
| 530 | 00:49:43,563 | 00:49:47,358 | 49 | Look, Meryl, same road, no cars. |
| 531 | 00:49:47,484 | 00:49:48,859 | 49 | It’s magic. |
| 532 | 00:49:49,361 | 00:49:52,488 | 49 | Look, you let me out. You’re not right in the head. |
| 533 | 00:49:52,572 | 00:49:54,865 | 49 | You want to destroy yourself, you do it on your own. |
| 534 | 00:49:54,950 | 00:49:57,076 | 49 | I think I’d like a little company. |
| 535 | 00:50:03,583 | 00:50:07,837 | 50 | Truman, you knew this would happen. |
| 536 | 00:50:09,089 | 00:50:11,966 | 50 | You know you can’t drive over water. |
| 537 | 00:50:12,259 | 00:50:14,885 | 50 | Let’s go home where you’ll feel safe. |
| 538 | 00:50:17,514 | 00:50:19,598 | 50 | Give me your hand. Sweetie. |
| 539 | 00:50:20,475 | 00:50:21,642 | 50 | Drive. |
| 540 | 00:50:22,227 | 00:50:23,436 | 50 | Truman! |
| 541 | 00:50:23,937 | 00:50:26,939 | 50 | We shouldn’t be doing this! Truman, we’re breaking the law! |
| 542 | 00:50:27,190 | 00:50:28,733 | 50 | Oh, my! You can do it. |
| 543 | 00:50:28,817 | 00:50:30,860 | 50 | Please, don’t! You can make it. |
| 544 | 00:50:31,236 | 00:50:32,486 | 50 | Truman. |
| 545 | 00:50:33,405 | 00:50:34,530 | 50 | We’re over. |
| 546 | 00:50:34,614 | 00:50:37,950 | 50 | We’re over the bridge. We’re over? |
| 547 | 00:50:38,535 | 00:50:40,578 | 50 | We’re over the bridge. We’re over. |
| 548 | 00:50:46,460 | 00:50:48,210 | 50 | Truman, what about that sign? |
| 549 | 00:50:48,295 | 00:50:50,963 | 50 | I’m sure they’re exaggerating. We’ll be fine. |
| 550 | 00:50:52,549 | 00:50:54,967 | 50 | Exaggerating? Do you believe that? |
| 551 | 00:50:55,052 | 00:50:57,011 | 50 | Truman, let’s go back! Can’t go back! |
| 552 | 00:50:57,137 | 00:50:59,722 | 50 | Oh, my! Truman, we’re on fire! |
| 553 | 00:50:59,806 | 00:51:01,223 | 50 | It’s okay. We’re on fire! |
| 554 | 00:51:01,308 | 00:51:03,225 | 51 | It’s okay. It’s just smoke. |
| 555 | 00:51:03,310 | 00:51:04,852 | 51 | You okay? Yes. |
| 556 | 00:51:05,062 | 00:51:07,063 | 51 | Want to do it again? No! |
| 557 | 00:51:08,482 | 00:51:11,317 | 51 | Truman, stop! Oh, God! |
| 558 | 00:51:13,320 | 00:51:17,323 | 51 | So what are we going to do for money when we get to New Orleans? |
| 559 | 00:51:18,158 | 00:51:20,367 | 51 | I have my Seahaven bank card. |
| 560 | 00:51:21,078 | 00:51:24,789 | 51 | So what? We’re just gonna eat into our savings, is that it? |
| 561 | 00:51:25,332 | 00:51:27,917 | 51 | I’m going to have to call your mother when we get there. |
| 562 | 00:51:28,001 | 00:51:32,505 | 51 | She’s going to be worried sick. I don’t know how she’s going to take this. |
| 563 | 00:51:43,850 | 00:51:45,267 | 51 | What now? |
| 564 | 00:51:47,270 | 00:51:48,938 | 51 | This is a red alert. |
| 565 | 00:51:51,858 | 00:51:54,235 | 51 | Truman, it looks like a leak at the plant. |
| 566 | 00:51:54,319 | 00:51:56,445 | 51 | Back up. Leak at the plant. |
| 567 | 00:51:56,530 | 00:51:58,948 | 51 | We had to shut her down. Is there any way around? |
| 568 | 00:51:59,032 | 00:52:01,742 | 51 | Whole area’s being evacuated. Is there anything I can do? |
| 569 | 00:52:01,827 | 00:52:03,786 | 52 | No, ma’am. Thank you for your help. |
| 570 | 00:52:03,870 | 00:52:05,538 | 52 | You’re welcome, Truman. |
| 571 | 00:52:06,957 | 00:52:08,332 | 52 | Truman. |
| 572 | 00:52:10,877 | 00:52:12,711 | 52 | Truman! |
| 573 | 00:52:13,130 | 00:52:14,797 | 52 | Truman, come back! |
| 574 | 00:52:17,300 | 00:52:18,717 | 52 | Stop him! |
| 575 | 00:52:20,053 | 00:52:21,387 | 52 | Truman! |
| 576 | 00:52:22,180 | 00:52:23,556 | 52 | Catch him on the left! |
| 577 | 00:52:40,073 | 00:52:41,448 | 52 | Stay away! |
| 578 | 00:52:47,789 | 00:52:48,873 | 52 | No. |
| 579 | 00:52:51,793 | 00:52:53,419 | 52 | …now in custody. |
| 580 | 00:52:56,798 | 00:53:00,593 | 52 | Thank you both so much for your help. I really appreciate it. |
| 581 | 00:53:00,927 | 00:53:04,597 | 53 | He’s lucky to be alive, ma’am. Next time, we’ll have to file charges. |
| 582 | 00:53:04,681 | 00:53:06,140 | 53 | I understand. |
| 583 | 00:53:06,433 | 00:53:08,601 | 53 | Thanks again. Good night. |
| 584 | 00:53:26,453 | 00:53:29,038 | 53 | Let me get you some help, Truman. |
| 585 | 00:53:29,789 | 00:53:31,373 | 53 | You’re not well. |
| 586 | 00:53:33,835 | 00:53:36,545 | 53 | Why do you want to have a baby with me? |
| 587 | 00:53:37,631 | 00:53:39,381 | 53 | You can’t stand me. |
| 588 | 00:53:39,799 | 00:53:41,425 | 53 | That’s not true. |
| 589 | 00:53:46,097 | 00:53:48,807 | 53 | Why don’t you let me fix you some of this new Mococoa drink? |
| 590 | 00:53:48,892 | 00:53:52,144 | 53 | All natural cocoa beans from the upper slopes of Mt. Nicaragua. |
| 591 | 00:53:52,229 | 00:53:53,979 | 53 | No artificial sweeteners. |
| 592 | 00:53:54,064 | 00:53:56,607 | 53 | What the hell are you talking about? |
| 593 | 00:53:57,150 | 00:53:58,984 | 53 | Who are you talking to? |
| 594 | 00:53:59,069 | 00:54:02,154 | 53 | I’ve tasted other cocoas. This is the best. |
| 595 | 00:54:02,280 | 00:54:05,991 | 54 | What the hell does this have to do with anything? |
| 596 | 00:54:06,785 | 00:54:08,786 | 54 | Tell me what’s happening! |
| 597 | 00:54:08,954 | 00:54:12,414 | 54 | You’re having a nervous breakdown, that’s what’s happening. |
| 598 | 00:54:12,499 | 00:54:14,708 | 54 | You’re part of this, aren’t you? |
| 599 | 00:54:16,920 | 00:54:18,879 | 54 | Truman. Meryl! |
| 600 | 00:54:19,506 | 00:54:21,966 | 54 | You are scaring me. |
| 601 | 00:54:22,050 | 00:54:24,677 | 54 | No. You’re scaring me, Meryl. |
| 602 | 00:54:25,053 | 00:54:28,889 | 54 | What are you going to do? Dice me? Slice me and peel me? |
| 603 | 00:54:28,974 | 00:54:31,392 | 54 | There are so many choices! |
| 604 | 00:54:32,185 | 00:54:33,811 | 54 | Do something! |
| 605 | 00:54:35,105 | 00:54:36,188 | 54 | What? |
| 606 | 00:54:37,023 | 00:54:38,857 | 54 | What did you say? |
| 607 | 00:54:39,192 | 00:54:42,319 | 54 | Who were you talking to? Nothing. I didn’t say anything. |
| 608 | 00:54:42,404 | 00:54:44,071 | 54 | I didn’t say anything. |
| 609 | 00:54:44,155 | 00:54:47,449 | 54 | You said “do something.” No, I didn’t. I wasn’t talking to anybody. |
| 610 | 00:54:47,534 | 00:54:50,911 | 54 | Talk to me! I don’t know anything. Please stop. |
| 611 | 00:54:50,996 | 00:54:52,579 | 54 | Stay where you are. |
| 612 | 00:54:53,748 | 00:54:55,249 | 54 | Truman? |
| 613 | 00:54:56,668 | 00:54:57,960 | 54 | Truman. |
| 614 | 00:54:58,586 | 00:55:02,256 | 54 | Oh, thank God! |
| 615 | 00:55:05,385 | 00:55:10,180 | 55 | How can anyone expect me to carry on under these conditions? |
| 616 | 00:55:10,473 | 00:55:12,474 | 55 | It’s unprofessional. |
| 617 | 00:55:13,393 | 00:55:14,727 | 55 | It’s okay. |
| 618 | 00:55:17,605 | 00:55:21,859 | 55 | Everything’s going to be okay. It’s all gonna be fine. |
| 619 | 00:55:25,405 | 00:55:27,573 | 55 | I don’t know what to think, Marlon. |
| 620 | 00:55:31,703 | 00:55:33,912 | 55 | Maybe I’m losing my mind, but… |
| 621 | 00:55:38,251 | 00:55:41,587 | 55 | It feels like the whole world revolves around me somehow. |
| 622 | 00:55:44,007 | 00:55:46,675 | 55 | That’s a lot of world for one man, Truman. |
| 623 | 00:55:48,845 | 00:55:50,929 | 55 | Sure that’s not wishful thinking? |
| 624 | 00:55:51,348 | 00:55:54,391 | 55 | You wishing you’d made something more out of yourself? |
| 625 | 00:55:55,268 | 00:55:57,436 | 55 | Come on, who hasn’t sat in the john, |
| 626 | 00:55:57,520 | 00:56:00,230 | 55 | had an imaginary interview on Seahaven Tonight? |
| 627 | 00:56:00,690 | 00:56:03,525 | 56 | Who hasn’t wanted to be somebody? This is different. |
| 628 | 00:56:03,610 | 00:56:05,611 | 56 | Everybody seems to be in on it. |
| 629 | 00:56:09,991 | 00:56:13,452 | 56 | I’ve been your best friend since we were 7 years old, Truman. |
| 630 | 00:56:13,787 | 00:56:15,746 | 56 | The only way you and I ever made it through school |
| 631 | 00:56:15,830 | 00:56:18,457 | 56 | was by cheating off each other’s test papers. |
| 632 | 00:56:19,501 | 00:56:21,377 | 56 | Jesus, they were identical. |
| 633 | 00:56:23,671 | 00:56:25,881 | 56 | But I always felt safe knowing that. |
| 634 | 00:56:26,883 | 00:56:29,927 | 56 | ’Cause whatever the answer was, we were right together, |
| 635 | 00:56:30,178 | 00:56:31,970 | 56 | and we were wrong together. |
| 636 | 00:56:33,640 | 00:56:36,683 | 56 | Remember that time I stayed up with you all night in your tent |
| 637 | 00:56:36,768 | 00:56:39,061 | 56 | because you wanted to play North Pole? |
| 638 | 00:56:39,729 | 00:56:41,230 | 56 | And I got pneumonia? |
| 639 | 00:56:43,274 | 00:56:44,650 | 56 | You remember that? |
| 640 | 00:56:45,527 | 00:56:47,986 | 56 | You were out of school for about a month. |
| 641 | 00:56:54,369 | 00:56:57,162 | 56 | You’re the closest thing I ever had to a brother, Truman. |
| 642 | 00:57:03,670 | 00:57:05,295 | 57 | I know that things |
| 643 | 00:57:06,464 | 00:57:10,551 | 57 | haven’t really worked out for either of us like we used to dream they would. |
| 644 | 00:57:11,511 | 00:57:15,347 | 57 | I know that feeling, when it’s like everything’s slipping away |
| 645 | 00:57:16,599 | 00:57:18,725 | 57 | and you don’t want to believe it, |
| 646 | 00:57:19,352 | 00:57:22,062 | 57 | so you look for answers somewhere else, but… |
| 647 | 00:57:28,570 | 00:57:30,070 | 57 | The point is, |
| 648 | 00:57:30,780 | 00:57:33,407 | 57 | I’d gladly walk in front of traffic for you. |
| 649 | 00:57:39,456 | 00:57:43,250 | 57 | The point is, I would gladly step in front of traffic for you, Truman. |
| 650 | 00:57:44,419 | 00:57:47,671 | 57 | And the last thing I’d ever do is lie to you. |
| 651 | 00:57:50,133 | 00:57:52,676 | 57 | And the last thing that I would ever do |
| 652 | 00:57:55,555 | 00:57:56,805 | 57 | is lie to you. |
| 653 | 00:58:00,059 | 00:58:02,060 | 58 | I mean, think about it, Truman. |
| 654 | 00:58:02,562 | 00:58:04,354 | 58 | If everybody is in on it, |
| 655 | 00:58:07,108 | 00:58:09,026 | 58 | I’d have to be in on it, too. |
| 656 | 00:58:18,077 | 00:58:20,245 | 58 | I’m not in on it, Truman, because |
| 657 | 00:58:21,664 | 00:58:23,040 | 58 | there is no “it.” |
| 658 | 00:58:27,170 | 00:58:29,546 | 58 | You were right about one thing, though. |
| 659 | 00:58:30,256 | 00:58:31,590 | 58 | What’s that? |
| 660 | 00:58:33,301 | 00:58:35,344 | 58 | The thing that started all this. |
| 661 | 00:58:50,777 | 00:58:53,570 | 58 | Yep. I found him for you, Truman. |
| 662 | 00:58:53,947 | 00:58:55,864 | 58 | That’s why I came by tonight. |
| 663 | 00:58:56,741 | 00:58:59,117 | 58 | I’m sure he’s got quite a story to tell. |
| 664 | 00:59:02,956 | 00:59:04,289 | 59 | Go to him. |
| 665 | 00:59:10,922 | 00:59:12,464 | 59 | Easy on the fog. |
| 666 | 00:59:14,300 | 00:59:16,176 | 59 | Stand by, crane cam. |
| 667 | 00:59:17,637 | 00:59:19,012 | 59 | Crane cam. |
| 668 | 00:59:26,980 | 00:59:28,355 | 59 | Button cam 3. |
| 669 | 00:59:40,868 | 00:59:42,953 | 59 | I never stopped believing. |
| 670 | 00:59:46,082 | 00:59:49,042 | 59 | And wide, curb cam 8. |
| 671 | 00:59:49,669 | 00:59:50,877 | 59 | My son. |
| 672 | 00:59:52,672 | 00:59:54,673 | 59 | Move in for a closeup? No. |
| 673 | 00:59:56,676 | 00:59:58,093 | 59 | Move back |
| 674 | 00:59:59,262 | 01:00:00,721 | 59 | and fade up music. |
| 675 | 01:00:06,519 | 01:00:08,145 | 60 | And now go in close. |
| 676 | 01:00:09,397 | 01:00:11,315 | 60 | Aii those years wasted. |
| 677 | 01:00:13,568 | 01:00:16,862 | 60 | I’ii make it up to you, son. I swear. |
| 678 | 01:00:23,119 | 01:00:24,202 | 60 | Dad. |
| 679 | 01:00:25,663 | 01:00:26,705 | 60 | Yes! |
| 680 | 01:00:36,507 | 01:00:37,674 | 60 | Bravo. |
| 681 | 01:00:38,092 | 01:00:40,260 | 60 | That will win the ratings period. |
| 682 | 01:00:40,970 | 01:00:42,054 | 60 | Congratulations. |
| 683 | 01:00:42,138 | 01:00:44,222 | 60 | Okay, everybody, quiet down. Let’s concentrate. |
| 684 | 01:00:44,307 | 01:00:46,099 | 60 | Great television. That was good work. |
| 685 | 01:00:46,851 | 01:00:48,977 | 60 | Let’s get some champagne up here. |
| 686 | 01:00:49,062 | 01:00:50,520 | 60 | Congratulations. |
| 687 | 01:00:51,814 | 01:00:55,525 | 60 | Well done, Christof. It was brilliant. It just broke my heart. |
| 688 | 01:00:59,238 | 01:01:00,864 | 60 | Well done, everyone! Bravo! |
| 689 | 01:01:00,948 | 01:01:02,240 | 61 | Congratulations. |
| 690 | 01:01:20,343 | 01:01:23,595 | 61 | 1.7 billion were there for his birth. |
| 691 | 01:01:27,558 | 01:01:31,019 | 61 | 220 countries tuned in for his first step. |
| 692 | 01:01:31,104 | 01:01:34,481 | 61 | The worid stood still for that stolen kiss. |
| 693 | 01:01:34,857 | 01:01:37,109 | 61 | And as he grew, so did the technology. |
| 694 | 01:01:37,193 | 01:01:39,277 | 61 | An entire human life |
| 695 | 01:01:39,404 | 01:01:42,364 | 61 | recorded on an intricate network of hidden cameras |
| 696 | 01:01:42,448 | 01:01:46,284 | 61 | and broadcast iive and unedited, 24 hours a day, |
| 697 | 01:01:46,369 | 01:01:49,454 | 61 | seven days a week, to an audience around the globe. |
| 698 | 01:01:50,289 | 01:01:53,125 | 61 | Coming to you now from Seahaven Island, |
| 699 | 01:01:53,334 | 01:01:56,586 | 61 | enclosed in the largest studio ever constructed, |
| 700 | 01:01:56,671 | 01:01:58,922 | 61 | and along with the Great Wall of China, |
| 701 | 01:01:59,006 | 01:02:02,300 | 61 | one of only two manmade structures visible from space, |
| 702 | 01:02:03,010 | 01:02:06,221 | 62 | now in its 30th great year, |
| 703 | 01:02:06,305 | 01:02:08,223 | 62 | it’s The Truman Show. |
| 704 | 01:02:12,979 | 01:02:14,855 | 62 | What a week it’s been. I don’t know about you, |
| 705 | 01:02:14,939 | 01:02:16,898 | 62 | I was on pins and needles the entire time. |
| 706 | 01:02:17,400 | 01:02:20,152 | 62 | Hello and good evening. I’m your host Mike Michaelson, |
| 707 | 01:02:20,236 | 01:02:21,611 | 62 | and welcome to Trutalk. |
| 708 | 01:02:21,696 | 01:02:24,197 | 62 | Our forum for issues growing out of the show. |
| 709 | 01:02:24,282 | 01:02:26,867 | 62 | But tonight, something very special indeed. |
| 710 | 01:02:26,993 | 01:02:31,246 | 62 | A rare and exclusive interview with the show’s conceiver and creator. |
| 711 | 01:02:31,956 | 01:02:35,292 | 62 | So come with us now as we go live to the lunar room |
| 712 | 01:02:35,376 | 01:02:38,754 | 62 | on the 221st floor of the omnicam ecosphere. |
| 713 | 01:02:38,838 | 01:02:42,466 | 62 | That’s where we’ll find the world’s greatest televisionary. |
| 714 | 01:02:42,675 | 01:02:45,594 | 62 | The designer and architect of the world within a world |
| 715 | 01:02:45,678 | 01:02:47,804 | 62 | that is Seahaven Island: Christof. |
| 716 | 01:02:49,265 | 01:02:52,100 | 62 | Before we begin, I’d like to thank you on behalf of our audience, |
| 717 | 01:02:52,185 | 01:02:54,019 | 62 | for granting this exclusive interview. |
| 718 | 01:02:54,103 | 01:02:56,354 | 62 | We know how demanding your schedule is |
| 719 | 01:02:56,439 | 01:02:59,316 | 62 | and we all know how jealously you guard your privacy. |
| 720 | 01:02:59,400 | 01:03:01,693 | 62 | This, sir, is indeed an honor. |
| 721 | 01:03:01,861 | 01:03:03,236 | 63 | Don’t mention it. |
| 722 | 01:03:03,321 | 01:03:06,239 | 63 | The catalyst for the recent dramatic events on the show |
| 723 | 01:03:06,324 | 01:03:08,408 | 63 | has been Truman’s father, Kirk, |
| 724 | 01:03:08,493 | 01:03:11,870 | 63 | and his attempts to infiltrate the show. But before we get into that, |
| 725 | 01:03:11,954 | 01:03:14,623 | 63 | I think it’s worth noting this is not the first time |
| 726 | 01:03:14,707 | 01:03:18,043 | 63 | someone from the outside has attempted to reach Truman, is it? |
| 727 | 01:03:18,127 | 01:03:20,003 | 63 | We have had our close calls in the past. |
| 728 | 01:03:20,087 | 01:03:23,173 | 63 | Truman! It’s television! Yes! |
| 729 | 01:03:24,050 | 01:03:27,093 | 63 | Yes! I did it! I’m on The Truman Show! |
| 730 | 01:03:27,887 | 01:03:29,930 | 63 | But there’s never been anything to compare with |
| 731 | 01:03:30,014 | 01:03:31,973 | 63 | this most recent breach in security. |
| 732 | 01:03:32,058 | 01:03:35,227 | 63 | The first intruder to be a former cast member. |
| 733 | 01:03:35,853 | 01:03:36,978 | 63 | A dead one at that. |
| 734 | 01:03:37,063 | 01:03:40,649 | 63 | Got to say, writing Kirk back in, masterstroke. |
| 735 | 01:03:41,108 | 01:03:43,610 | 63 | Since Kirk started this whole crisis in Truman’s life, |
| 736 | 01:03:43,694 | 01:03:46,988 | 63 | I came to the conclusion that he was the only one who could end it. |
| 737 | 01:03:47,073 | 01:03:48,198 | 63 | Truman! |
| 738 | 01:03:48,282 | 01:03:49,574 | 63 | Truman, no! |
| 739 | 01:03:50,576 | 01:03:51,743 | 63 | That’s offlimits. |
| 740 | 01:03:51,828 | 01:03:55,539 | 63 | Why? What’s over there? Nothing. It’s dangerous. That’s all. |
| 741 | 01:03:55,790 | 01:03:57,999 | 63 | You’ve got to know your limitations, Truman. |
| 742 | 01:03:58,084 | 01:04:02,212 | 63 | But let’s remind viewers of exactly why Dad was written out in the first place. |
| 743 | 01:04:02,338 | 01:04:05,674 | 64 | As Truman grew up, we were forced to manufacture ways |
| 744 | 01:04:05,758 | 01:04:07,509 | 64 | to keep him on the island. |
| 745 | 01:04:07,802 | 01:04:10,512 | 64 | I’d like to be an explorer, like the great Magellan. |
| 746 | 01:04:10,596 | 01:04:12,097 | 64 | You’re too late. |
| 747 | 01:04:12,181 | 01:04:14,558 | 64 | There’s really nothing left to explore. |
| 748 | 01:04:19,063 | 01:04:21,690 | 64 | Finally, I came up with the concept of Kirk’s drowning. |
| 749 | 01:04:21,774 | 01:04:24,901 | 64 | Most effective. Truman’s been terrified of the water ever since. |
| 750 | 01:04:24,986 | 01:04:27,821 | 64 | When Kirk read the synopsis for the Death At Sea episode, |
| 751 | 01:04:27,905 | 01:04:31,366 | 64 | he was disappointed, to say the least. |
| 752 | 01:04:32,618 | 01:04:35,036 | 64 | I’m sure that’s what caused him to break back onto the set. |
| 753 | 01:04:35,121 | 01:04:38,456 | 64 | But how do you intend to explain his 22year absence? |
| 754 | 01:04:40,376 | 01:04:42,669 | 64 | Amnesia. Brilliant. |
| 755 | 01:04:43,462 | 01:04:45,297 | 64 | Let’s take some viewer phone calls. |
| 756 | 01:04:45,381 | 01:04:48,300 | 64 | Charlotte, North Carolina, you’re on with Christof. |
| 757 | 01:04:49,385 | 01:04:50,844 | 64 | Yeah, hi, Christof. |
| 758 | 01:04:51,137 | 01:04:54,639 | 64 | I was just wondering how many cameras you got there in that town. |
| 759 | 01:04:55,099 | 01:04:57,225 | 64 | Somewhere in the vicinity of 5,000. |
| 760 | 01:04:57,643 | 01:05:02,355 | 64 | That’s a lot of cameras. Remember, we started with just one. |
| 761 | 01:05:04,108 | 01:05:06,151 | 65 | He was curious from birth. |
| 762 | 01:05:07,153 | 01:05:10,780 | 65 | Premature by two weeks. It was almost as if he couldn’t wait to get started. |
| 763 | 01:05:10,865 | 01:05:13,158 | 65 | And his eagerness to leave his mother’s womb |
| 764 | 01:05:13,242 | 01:05:15,744 | 65 | was the very reason he was the one who was selected. |
| 765 | 01:05:15,828 | 01:05:18,538 | 65 | In competition with five other unwanted pregnancies, |
| 766 | 01:05:18,623 | 01:05:21,416 | 65 | the casting of a show, determined by an air date, |
| 767 | 01:05:21,542 | 01:05:23,835 | 65 | Truman was the one who arrived on cue. |
| 768 | 01:05:28,633 | 01:05:31,509 | 65 | Incidentally, I believe Truman is the first child |
| 769 | 01:05:31,594 | 01:05:34,095 | 65 | to have been legally adopted by a corporation. |
| 770 | 01:05:34,180 | 01:05:35,305 | 65 | That’s correct. |
| 771 | 01:05:35,389 | 01:05:37,766 | 65 | The show has generated enormous revenues, |
| 772 | 01:05:37,850 | 01:05:41,102 | 65 | now equivalent to the gross national product of a small country. |
| 773 | 01:05:41,187 | 01:05:42,354 | 65 | People forget it takes |
| 774 | 01:05:42,438 | 01:05:45,148 | 65 | the population of an entire country to keep the show running. |
| 775 | 01:05:45,232 | 01:05:48,902 | 65 | Since the show is on 24 hours a day without commercial interruption, |
| 776 | 01:05:48,986 | 01:05:52,530 | 65 | all those staggering revenues are generated by product placement. |
| 777 | 01:05:52,949 | 01:05:55,283 | 65 | That’s true. Everything on the show is for sale. |
| 778 | 01:05:55,368 | 01:05:58,662 | 65 | From the actors’ wardrobe, food products, to the very homes they live in. |
| 779 | 01:05:58,746 | 01:06:01,081 | 65 | All of it available in the Truman catalog |
| 780 | 01:06:01,165 | 01:06:02,540 | 66 | and operators are standing by. |
| 781 | 01:06:02,625 | 01:06:04,376 | 66 | Christof, let me ask you. |
| 782 | 01:06:04,794 | 01:06:08,046 | 66 | Why do you think that Truman has never come close |
| 783 | 01:06:08,547 | 01:06:11,675 | 66 | to discovering the true nature of his world until now? |
| 784 | 01:06:12,134 | 01:06:15,178 | 66 | We accept the reality of the world with which we are presented. |
| 785 | 01:06:15,262 | 01:06:16,888 | 66 | It’s as simple as that. |
| 786 | 01:06:17,515 | 01:06:19,140 | 66 | The Hague for Christof. |
| 787 | 01:06:19,225 | 01:06:21,434 | 66 | Hello? The Hague? |
| 788 | 01:06:22,937 | 01:06:26,523 | 66 | All right, we’ve lost that call. Let’s go to Hollywood. You’re on Trutalk. |
| 789 | 01:06:26,607 | 01:06:29,234 | 66 | Hi, I’d just like to say one thing. |
| 790 | 01:06:29,318 | 01:06:30,986 | 66 | You’re a liar and a manipulator. |
| 791 | 01:06:31,070 | 01:06:33,363 | 66 | And what you’ve done to Truman is sick. |
| 792 | 01:06:34,907 | 01:06:37,033 | 66 | We remember this voice, don’t we? |
| 793 | 01:06:38,285 | 01:06:40,787 | 66 | How could we forget? Let’s go to another call. |
| 794 | 01:06:40,871 | 01:06:44,165 | 66 | No. It’s fine, Mike. |
| 795 | 01:06:44,583 | 01:06:47,502 | 66 | I love to reminisce with former members of the cast. |
| 796 | 01:06:48,754 | 01:06:50,005 | 66 | Sylvia, |
| 797 | 01:06:50,965 | 01:06:53,800 | 66 | as you announced so melodramatically to the world, |
| 798 | 01:06:55,094 | 01:06:58,346 | 66 | you think because you batted your eyes at Truman once, |
| 799 | 01:06:59,724 | 01:07:01,182 | 66 | flirted with him, |
| 800 | 01:07:01,517 | 01:07:03,810 | 67 | stole a few minutes of airtime with him |
| 801 | 01:07:03,894 | 01:07:07,063 | 67 | to thrust yourself and your politics into the limelight, |
| 802 | 01:07:07,148 | 01:07:10,859 | 67 | that you know him? That you know what’s right for him? |
| 803 | 01:07:11,360 | 01:07:13,987 | 67 | You really think you’re in a position to judge him? |
| 804 | 01:07:14,071 | 01:07:16,197 | 67 | What right do you have to take a baby |
| 805 | 01:07:16,282 | 01:07:18,950 | 67 | and turn his life into some kind of mockery? |
| 806 | 01:07:19,785 | 01:07:21,578 | 67 | Don’t you ever feel guilty? |
| 807 | 01:07:23,247 | 01:07:27,000 | 67 | I have given Truman a chance to lead a normal life. |
| 808 | 01:07:28,335 | 01:07:31,379 | 67 | The world, the place you live in, |
| 809 | 01:07:32,465 | 01:07:33,882 | 67 | is the sick place. |
| 810 | 01:07:36,010 | 01:07:38,053 | 67 | Seahaven is the way the world should be. |
| 811 | 01:07:38,137 | 01:07:41,848 | 67 | He’s not a perfermer. He’s a prisoner. Look at what you’ve done to him! |
| 812 | 01:07:41,932 | 01:07:43,641 | 67 | He could leave at any time. |
| 813 | 01:07:43,851 | 01:07:46,394 | 67 | If his was more than just a vague ambition, |
| 814 | 01:07:46,479 | 01:07:50,065 | 67 | if he was absolutely determined to discover the truth, |
| 815 | 01:07:51,275 | 01:07:53,485 | 67 | there’s no way we could prevent him. |
| 816 | 01:07:53,778 | 01:07:56,446 | 67 | I think what distresses you, |
| 817 | 01:07:57,406 | 01:08:00,658 | 67 | really, caller, is that ultimately |
| 818 | 01:08:01,911 | 01:08:05,538 | 68 | Truman prefers his cell, as you call it. |
| 819 | 01:08:05,956 | 01:08:07,665 | 68 | That’s where you’re wrong. |
| 820 | 01:08:08,167 | 01:08:10,919 | 68 | You’re so wrong, and he’ll prove you wrong. |
| 821 | 01:08:11,337 | 01:08:15,548 | 68 | Aside from the heated comments of a very vocal minority, |
| 822 | 01:08:15,758 | 01:08:18,468 | 68 | it’s been an overwhelmingly positive experience. |
| 823 | 01:08:18,677 | 01:08:21,012 | 68 | Yes. For Truman and for the viewing public. |
| 824 | 01:08:21,097 | 01:08:23,014 | 68 | Christof, I can’t thank you enough |
| 825 | 01:08:23,099 | 01:08:25,558 | 68 | for giving so generously of your time tonight. |
| 826 | 01:08:25,643 | 01:08:28,520 | 68 | I think it’s safe to say that now that this crisis is behind us |
| 827 | 01:08:28,604 | 01:08:30,271 | 68 | and that Truman’s back to his old self, |
| 828 | 01:08:30,356 | 01:08:33,691 | 68 | we can look forward to some exciting new developments. |
| 829 | 01:08:33,776 | 01:08:37,112 | 68 | Mike, the big news is that Meryl will be leaving Truman |
| 830 | 01:08:37,196 | 01:08:38,780 | 68 | in an upcoming episode. |
| 831 | 01:08:38,864 | 01:08:41,533 | 68 | And a new romantic interest will be introduced. |
| 832 | 01:08:42,201 | 01:08:46,538 | 68 | I’m determined that television’s first onair conception will still take place. |
| 833 | 01:08:46,956 | 01:08:50,959 | 68 | Another television milestone straight ahead. You heard it here first. |
| 834 | 01:08:51,043 | 01:08:53,795 | 68 | It has been a singular honor and a pleasure, sir. |
| 835 | 01:08:53,879 | 01:08:56,464 | 68 | Christof, thank you. Thank you, Mike. |
| 836 | 01:10:14,919 | 01:10:16,544 | 70 | Simeon. What? |
| 837 | 01:10:20,966 | 01:10:22,508 | 70 | Is he looking at us? |
| 838 | 01:10:22,927 | 01:10:24,886 | 70 | Jesus, do you think he knows? |
| 839 | 01:10:26,305 | 01:10:27,305 | 70 | Hello? |
| 840 | 01:10:27,806 | 01:10:29,349 | 70 | Better call Christof. |
| 841 | 01:10:29,475 | 01:10:31,476 | 70 | Hello? Come in, Major Burbank. |
| 842 | 01:10:43,656 | 01:10:44,656 | 70 | Jesus. |
| 843 | 01:10:48,994 | 01:10:51,913 | 70 | He’s back to his old self. Thank God. |
| 844 | 01:10:59,755 | 01:11:02,215 | 70 | That’s an unusual cat, my man. |
| 845 | 01:11:07,096 | 01:11:10,348 | 71 | I hereby proclaim this planet… |
| 846 | 01:11:15,104 | 01:11:17,897 | 71 | Trumania of the Burbank galaxy. |
| 847 | 01:11:20,359 | 01:11:22,694 | 71 | Is he gonna go? Okay, hallway camera ready. |
| 848 | 01:11:24,571 | 01:11:25,947 | 71 | That one’s for free. |
| 849 | 01:11:26,031 | 01:11:27,991 | 71 | Keep up with him, ’cause he’ll move fast. |
| 850 | 01:11:28,075 | 01:11:30,201 | 71 | Stand by, all house cameras. |
| 851 | 01:11:31,245 | 01:11:33,454 | 71 | Morning! Good morning. |
| 852 | 01:11:33,622 | 01:11:35,290 | 71 | Good morning. Good morning. |
| 853 | 01:11:35,374 | 01:11:37,041 | 71 | In case I don’t see you… |
| 854 | 01:11:37,126 | 01:11:39,669 | 71 | Good afternoon, good evening, and good night. |
| 855 | 01:11:42,089 | 01:11:44,465 | 71 | Good afternoon… Good morning. |
| 856 | 01:11:44,550 | 01:11:46,676 | 71 | …evening and good night. |
| 857 | 01:11:47,344 | 01:11:49,470 | 71 | Morning, Truman. Morning, Spencer. |
| 858 | 01:11:49,555 | 01:11:51,848 | 71 | How’s it going? Let me check. |
| 859 | 01:11:52,641 | 01:11:54,183 | 71 | Vital signs are good. |
| 860 | 01:11:56,562 | 01:11:57,812 | 71 | Pluto! |
| 861 | 01:11:58,355 | 01:11:59,981 | 71 | Good morning, Truman. |
| 862 | 01:12:00,065 | 01:12:02,817 | 72 | Look who’s here. Beautiful day, isn’t it? |
| 863 | 01:12:03,110 | 01:12:04,235 | 72 | Every single day. |
| 864 | 01:12:04,320 | 01:12:07,238 | 72 | The policy, we’ve thought about it and we’re gonna take it. |
| 865 | 01:12:07,323 | 01:12:08,614 | 72 | You’re kidding? No! |
| 866 | 01:12:08,699 | 01:12:11,451 | 72 | Why don’t we go up to my office right now and we’ll sign the papers? |
| 867 | 01:12:11,535 | 01:12:14,162 | 72 | Next week would be much better. |
| 868 | 01:12:14,246 | 01:12:17,457 | 72 | All right. See you guys. Okay, bye now. See you next week. |
| 869 | 01:12:17,541 | 01:12:20,209 | 72 | Give me something to look forward to. You got it. |
| 870 | 01:12:20,294 | 01:12:22,003 | 72 | See, this isn’t about insurance. |
| 871 | 01:12:22,421 | 01:12:26,591 | 72 | This is about the great variable: When will death occur? |
| 872 | 01:12:26,925 | 01:12:29,010 | 72 | Could be a week, a month, a year. |
| 873 | 01:12:30,054 | 01:12:31,304 | 72 | Could be today. |
| 874 | 01:12:33,557 | 01:12:35,850 | 72 | “Sunbather, minding his own business, |
| 875 | 01:12:36,685 | 01:12:39,771 | 72 | “stabbed in the heart by the tip of a runaway beach umbrella.” |
| 876 | 01:12:39,855 | 01:12:42,398 | 72 | No way to guard against that kind of thing. |
| 877 | 01:12:44,568 | 01:12:46,027 | 72 | Sorry, excuse me. |
| 878 | 01:12:46,236 | 01:12:48,529 | 72 | Truman, this is Vivien. Vivien, this is Truman. |
| 879 | 01:12:48,614 | 01:12:50,948 | 72 | The two of you are gonna be neighbors. |
| 880 | 01:12:55,037 | 01:12:58,748 | 72 | I guess what I’m saying is that life is |
| 881 | 01:12:59,541 | 01:13:00,792 | 72 | fragile. |
| 882 | 01:13:02,544 | 01:13:04,170 | 73 | Vivien, your office. Sorry. |
| 883 | 01:13:04,254 | 01:13:07,298 | 73 | What’s that? I’m sorry. |
| 884 | 01:13:08,342 | 01:13:09,467 | 73 | You do? |
| 885 | 01:13:10,344 | 01:13:13,304 | 73 | Great. Let me take your information. |
| 886 | 01:13:29,613 | 01:13:31,239 | 73 | Ready, 2. Go to 2. |
| 887 | 01:13:35,702 | 01:13:37,161 | 73 | And back to medium. |
| 888 | 01:13:39,206 | 01:13:40,581 | 73 | And wide. |
| 889 | 01:13:48,590 | 01:13:51,342 | 73 | I was just trying to train the kid to… |
| 890 | 01:13:52,261 | 01:13:53,594 | 73 | Never mind. |
| 891 | 01:13:56,807 | 01:13:58,850 | 73 | What’s he doing in the basement? |
| 892 | 01:13:59,143 | 01:14:01,644 | 73 | He moved down there after Meryl packed up and left. |
| 893 | 01:14:01,728 | 01:14:03,146 | 74 | Why wasn’t I told? |
| 894 | 01:14:03,230 | 01:14:05,857 | 74 | Any unpredictable behavior has to be reported. |
| 895 | 01:14:07,276 | 01:14:09,152 | 74 | He’s just sleeping, I thought. |
| 896 | 01:14:09,236 | 01:14:11,779 | 74 | This the best shot we’ve got? What’s to see? |
| 897 | 01:14:11,864 | 01:14:15,491 | 74 | What’s on the clock cam? It’s an obstruction. |
| 898 | 01:14:15,993 | 01:14:19,745 | 74 | What happened down there? He was just tidying up his garbage. |
| 899 | 01:14:20,747 | 01:14:24,709 | 74 | I was gonna call you, but halfway through, he gave up, and he fell asleep. |
| 900 | 01:14:25,085 | 01:14:28,254 | 74 | I wanna check on the setups for the insurance convention tomorrow. |
| 901 | 01:14:28,338 | 01:14:29,714 | 74 | Yes. Yeah. |
| 902 | 01:14:30,716 | 01:14:32,049 | 74 | Nice move. |
| 903 | 01:14:41,143 | 01:14:42,393 | 74 | There you go. |
| 904 | 01:14:53,363 | 01:14:54,739 | 74 | Isolate the audio. |
| 905 | 01:14:56,074 | 01:14:58,075 | 74 | Give me a closeup on his torso. |
| 906 | 01:15:00,913 | 01:15:02,413 | 75 | He’s still breathing. |
| 907 | 01:15:04,625 | 01:15:06,292 | 75 | Where’s Chloe? Call him. |
| 908 | 01:15:06,502 | 01:15:09,754 | 75 | What do you want me to say? Tell him it’s a wrong number. |
| 909 | 01:15:13,217 | 01:15:14,800 | 75 | What took you so long? |
| 910 | 01:15:15,260 | 01:15:17,803 | 75 | Just had to wait for it. They were busy. |
| 911 | 01:15:18,722 | 01:15:21,140 | 75 | Here. What’s going on? |
| 912 | 01:15:21,975 | 01:15:23,726 | 75 | I don’t know. They’re… |
| 913 | 01:15:23,894 | 01:15:26,854 | 75 | He came down into the room. He did nothing but stand around for a while. |
| 914 | 01:15:26,939 | 01:15:28,439 | 75 | Shut up and watch it. |
| 915 | 01:15:29,066 | 01:15:31,150 | 75 | Then we went to night vision. |
| 916 | 01:15:31,944 | 01:15:33,361 | 75 | He’s asleep. |
| 917 | 01:15:34,988 | 01:15:36,239 | 75 | There! What? |
| 918 | 01:15:36,657 | 01:15:38,407 | 75 | Zoom in. On which? |
| 919 | 01:15:38,742 | 01:15:40,326 | 75 | Under the chair there. |
| 920 | 01:15:42,788 | 01:15:44,121 | 75 | Enhance it. |
| 921 | 01:15:46,667 | 01:15:49,168 | 75 | Is it… My God. |
| 922 | 01:15:50,963 | 01:15:54,090 | 75 | He couldn’t have gone up the stairs. He must still be in the room. |
| 923 | 01:15:54,174 | 01:15:55,800 | 75 | Get Marlon over there. Right away. |
| 924 | 01:16:11,483 | 01:16:12,650 | 76 | Truman! |
| 925 | 01:16:13,527 | 01:16:14,819 | 76 | Surprise party! |
| 926 | 01:16:16,863 | 01:16:18,155 | 76 | Come on, buddy. |
| 927 | 01:16:18,407 | 01:16:21,534 | 76 | I got a sixpack of cold brewskis with our name on them. |
| 928 | 01:16:21,660 | 01:16:23,953 | 76 | Come on, pal. Come on, buddy. |
| 929 | 01:16:27,958 | 01:16:29,041 | 76 | Shit. |
| 930 | 01:16:32,337 | 01:16:34,839 | 76 | Marlon, find him. He’s still in the room. |
| 931 | 01:16:39,219 | 01:16:41,137 | 76 | Come out, come out, wherever you are. |
| 932 | 01:16:41,221 | 01:16:43,014 | 76 | That’s good. Keep it light. |
| 933 | 01:16:43,932 | 01:16:46,392 | 76 | I know you’re in here. I’m gonna find you. |
| 934 | 01:16:49,980 | 01:16:51,564 | 76 | Check under the table. |
| 935 | 01:16:52,983 | 01:16:54,609 | 76 | The closet, behind you. |
| 936 | 01:16:58,614 | 01:16:59,614 | 76 | Huh. |
| 937 | 01:17:01,408 | 01:17:02,408 | 77 | Gee. |
| 938 | 01:17:03,285 | 01:17:05,494 | 77 | I wonder where he could possibly be. |
| 939 | 01:17:13,420 | 01:17:15,671 | 77 | The lawn cam, get me the lawn cam. |
| 940 | 01:17:23,347 | 01:17:26,015 | 77 | Don’t look in the camera. Say something. Keep it going. |
| 941 | 01:17:26,099 | 01:17:27,224 | 77 | He’s gone. |
| 942 | 01:17:27,726 | 01:17:29,560 | 77 | Cut transmission! Cut transmission? |
| 943 | 01:17:29,645 | 01:17:30,895 | 77 | Cut it! |
| 944 | 01:17:33,273 | 01:17:35,149 | 77 | Jesus! God in heaven! |
| 945 | 01:17:36,735 | 01:17:39,070 | 77 | Everything’s black. Give me the phone. |
| 946 | 01:17:51,917 | 01:17:54,126 | 77 | I don’t know where he is, but he’s gone. |
| 947 | 01:18:00,509 | 01:18:03,594 | 78 | All right. We’ve got every available extra looking for him. |
| 948 | 01:18:03,679 | 01:18:07,973 | 78 | The principals are helping out. The crew, too. So every sector’s covered. |
| 949 | 01:18:08,642 | 01:18:11,352 | 78 | What about prop cars? Yes, they’ve been accounted for. |
| 950 | 01:18:11,436 | 01:18:12,853 | 78 | He has to be on foot. |
| 951 | 01:18:12,938 | 01:18:15,856 | 78 | He has the world’s most recognizable face. He can’t disappear. |
| 952 | 01:18:51,727 | 01:18:52,810 | 78 | Go. |
| 953 | 01:18:53,687 | 01:18:57,314 | 78 | Hunt him. Yeah. Go find him, Pluto. |
| 954 | 01:18:57,899 | 01:18:59,108 | 78 | Good dog! |
| 955 | 01:18:59,192 | 01:19:00,443 | 78 | All this fuss. |
| 956 | 01:19:01,278 | 01:19:03,279 | 79 | If he could just hear my voice. |
| 957 | 01:19:04,239 | 01:19:05,448 | 79 | Truman! |
| 958 | 01:19:08,577 | 01:19:10,870 | 79 | Let me try. Truman! |
| 959 | 01:19:12,164 | 01:19:13,998 | 79 | It’s me, Dad! |
| 960 | 01:19:16,293 | 01:19:17,501 | 79 | Let’s talk. |
| 961 | 01:19:19,171 | 01:19:20,671 | 79 | Yeah, I know. |
| 962 | 01:19:22,382 | 01:19:24,300 | 79 | Just about done with the square. |
| 963 | 01:19:24,384 | 01:19:26,969 | 79 | Got to go back to Barrymore, check the interiors. |
| 964 | 01:19:27,053 | 01:19:29,263 | 79 | He’s got to be in there. Barrymore. |
| 965 | 01:19:29,681 | 01:19:31,807 | 79 | But what about the college? Who’s watching that? |
| 966 | 01:19:31,892 | 01:19:32,892 | 79 | I don’t know. |
| 967 | 01:19:32,976 | 01:19:35,311 | 79 | Send somebody over there, okay? All right. |
| 968 | 01:19:39,566 | 01:19:41,942 | 79 | Take another man and get down there now, all right? |
| 969 | 01:19:42,027 | 01:19:44,278 | 79 | I don’t give a damn. Just find the son of a bitch. |
| 970 | 01:19:44,362 | 01:19:45,321 | 79 | Get some batteries. |
| 971 | 01:19:45,405 | 01:19:48,115 | 79 | This guy’s not gonna glow in the dark. Get them down here. |
| 972 | 01:19:48,200 | 01:19:50,910 | 79 | I don’t know what’s going on. Reroute it back to me. |
| 973 | 01:19:50,994 | 01:19:54,205 | 79 | We need more light. We’ll never find him this way. |
| 974 | 01:19:59,503 | 01:20:00,878 | 79 | What time is it? |
| 975 | 01:20:01,213 | 01:20:03,506 | 80 | It’s way too early for that. |
| 976 | 01:20:10,222 | 01:20:11,388 | 80 | Cue the sun. |
| 977 | 01:20:17,979 | 01:20:19,355 | 80 | What time is it? |
| 978 | 01:20:20,357 | 01:20:22,066 | 80 | Christof, what’s going on? |
| 979 | 01:20:22,609 | 01:20:25,569 | 80 | Did you know there’s a rumor circulating that he’s dead? |
| 980 | 01:20:25,654 | 01:20:26,821 | 80 | You hear me? |
| 981 | 01:20:26,905 | 01:20:29,198 | 80 | The media is having a feeding frenzy over this. |
| 982 | 01:20:29,282 | 01:20:31,033 | 80 | All the phone lines are jammed, |
| 983 | 01:20:31,117 | 01:20:32,701 | 80 | and every network has a pirated shot |
| 984 | 01:20:32,786 | 01:20:35,037 | 80 | of Marlon making an ass of himself in front of the camera. |
| 985 | 01:20:35,121 | 01:20:37,331 | 80 | The sponsors are threatening to rip up their contracts. |
| 986 | 01:20:37,415 | 01:20:38,833 | 80 | Why? We’re getting higher ratings with this graphic |
| 987 | 01:20:38,917 | 01:20:42,002 | 80 | than we’ve ever had on this show. |
| 988 | 01:20:44,923 | 01:20:46,215 | 80 | No sign of him. |
| 989 | 01:20:46,383 | 01:20:49,176 | 80 | Marlon, why don’t you head back to town and join the others? |
| 990 | 01:20:49,261 | 01:20:52,221 | 80 | Everyone else is at first positions, okay? Thank you. |
| 991 | 01:20:53,765 | 01:20:55,975 | 80 | Everyone’s at first positions, right? |
| 992 | 01:21:11,366 | 01:21:14,869 | 81 | We’ve got the light. So he’s got to be there somewhere. |
| 993 | 01:21:17,664 | 01:21:19,373 | 81 | We’re not watching the sea. |
| 994 | 01:21:19,457 | 01:21:22,001 | 81 | Hang on a minute. Why would we watch the sea? |
| 995 | 01:21:22,627 | 01:21:23,961 | 81 | Sweep the harbor. |
| 996 | 01:21:24,129 | 01:21:25,671 | 81 | Bring up the harbor cameras. |
| 997 | 01:21:25,755 | 01:21:28,090 | 81 | Shift all harbor cameras to computer, please. |
| 998 | 01:21:28,174 | 01:21:29,800 | 81 | Some of those are out, aren’t they? |
| 999 | 01:21:29,885 | 01:21:33,304 | 81 | Yeah. We have four of them down, but we have the lighthouse cameras up. |
| 1000 | 01:21:33,388 | 01:21:35,848 | 81 | All buoy cams, please. What’s happening? |
| 1001 | 01:21:36,975 | 01:21:38,601 | 81 | Longlens, shorebased cameras. |
| 1002 | 01:21:38,685 | 01:21:40,728 | 81 | Why are we looking at the water? Good. |
| 1003 | 01:21:40,812 | 01:21:42,646 | 81 | Pan and zoom please. |
| 1004 | 01:21:46,109 | 01:21:47,318 | 81 | Truman, |
| 1005 | 01:21:49,487 | 01:21:50,988 | 81 | where are you going? |
| 1006 | 01:21:52,949 | 01:21:54,825 | 81 | How can he sail? He’s in insurance. |
| 1007 | 01:21:54,910 | 01:21:57,411 | 81 | Isn’t he terrified of the water? Resume transmission. |
| 1008 | 01:21:57,495 | 01:21:59,079 | 81 | Resuming transmission. |
| 1009 | 01:22:04,294 | 01:22:07,421 | 82 | I got 2to1 he doesn’t make it. I want a piece of that. |
| 1010 | 01:22:07,505 | 01:22:09,590 | 82 | 2to1 he doesn’t make it. |
| 1011 | 01:22:11,968 | 01:22:13,677 | 82 | Just leave them in the car. |
| 1012 | 01:22:26,733 | 01:22:30,611 | 82 | Let’s get off this mast shot. We can’t see his face. Go to the cabin cam. |
| 1013 | 01:22:33,615 | 01:22:35,157 | 82 | There. Perfect. |
| 1014 | 01:22:36,117 | 01:22:37,660 | 82 | That’s our hero shot. |
| 1015 | 01:23:03,269 | 01:23:05,062 | 83 | Let’s get another boat out there. |
| 1016 | 01:23:05,146 | 01:23:08,399 | 83 | Okay. Listen, Gus, I need you to talk to the guys on the ferry. |
| 1017 | 01:23:08,483 | 01:23:11,026 | 83 | Come on. Get it moving. Get it out of here. |
| 1018 | 01:23:13,279 | 01:23:14,530 | 83 | Come on. |
| 1019 | 01:23:15,115 | 01:23:18,742 | 83 | I’m usually the bus driver. Bottom line is they can’t drive the boat. |
| 1020 | 01:23:18,952 | 01:23:20,244 | 83 | They’re actors. |
| 1021 | 01:23:24,708 | 01:23:26,166 | 83 | How do we stop him? |
| 1022 | 01:23:36,594 | 01:23:37,803 | 83 | Okay. |
| 1023 | 01:23:40,306 | 01:23:43,934 | 83 | We’re going to be accessing the weather program now. |
| 1024 | 01:23:44,602 | 01:23:48,272 | 83 | So hold onto your hats. You got that? |
| 1025 | 01:23:48,773 | 01:23:52,943 | 83 | No. I think we’re gonna want to localize the storm over the boat. |
| 1026 | 01:23:56,031 | 01:23:58,032 | 83 | You can get the coordinates for that. |
| 1027 | 01:23:58,116 | 01:24:00,743 | 83 | There’s no rescue boat. He won’t know what to do. |
| 1028 | 01:24:00,827 | 01:24:03,120 | 84 | He’ll turn back. He’ll be too afraid. |
| 1029 | 01:24:06,541 | 01:24:07,916 | 84 | Thar she blows. |
| 1030 | 01:24:19,763 | 01:24:20,929 | 84 | Come on. |
| 1031 | 01:24:44,662 | 01:24:46,163 | 84 | Give me some lightning. |
| 1032 | 01:24:47,332 | 01:24:48,415 | 84 | Again. |
| 1033 | 01:24:49,000 | 01:24:50,209 | 84 | Hit him again! |
| 1034 | 01:25:01,930 | 01:25:04,181 | 85 | For God’s sake, the whole world is watching. |
| 1035 | 01:25:04,265 | 01:25:06,433 | 85 | We can’t let him die in front of a live audience. |
| 1036 | 01:25:06,518 | 01:25:08,352 | 85 | He was born in front of a live audience. |
| 1037 | 01:25:36,965 | 01:25:38,799 | 85 | Come on, Truman! |
| 1038 | 01:25:42,387 | 01:25:44,721 | 85 | You can do it! Hold on! |
| 1039 | 01:26:09,998 | 01:26:12,082 | 86 | Is that the best you can do? |
| 1040 | 01:26:13,626 | 01:26:16,753 | 86 | You’re gonna have to kill me! |
| 1041 | 01:26:17,922 | 01:26:20,174 | 86 | What shall we do with a drunken sailor? |
| 1042 | 01:26:20,258 | 01:26:22,843 | 86 | I demand that you cease transmission. Keep running. |
| 1043 | 01:26:22,969 | 01:26:27,264 | 86 | What shall we do with a drunken sailor Early in the mornin’? |
| 1044 | 01:26:27,473 | 01:26:30,017 | 86 | Increase the wind. |
| 1045 | 01:26:32,437 | 01:26:34,897 | 86 | I’m telling you for the last time. How close is he? |
| 1046 | 01:26:34,981 | 01:26:36,398 | 86 | Very close. Capsize him. Tip him over. |
| 1047 | 01:26:36,482 | 01:26:39,359 | 86 | Damn you, Christof! You can’t. He’s tied himself to the boat! |
| 1048 | 01:26:39,444 | 01:26:40,444 | 86 | Shut up! |
| 1049 | 01:26:40,528 | 01:26:42,321 | 86 | He’s gonna drown, and he doesn’t even care. |
| 1050 | 01:26:42,405 | 01:26:43,530 | 86 | Do it. No. |
| 1051 | 01:26:43,615 | 01:26:44,615 | 86 | Do it! |
| 1052 | 01:27:39,295 | 01:27:40,545 | 87 | That’s enough. |
| 1053 | 01:31:51,589 | 01:31:53,131 | 91 | I want to talk to him. |
| 1054 | 01:32:12,109 | 01:32:13,318 | 92 | Truman. |
| 1055 | 01:32:15,112 | 01:32:16,404 | 92 | You can speak. |
| 1056 | 01:32:18,491 | 01:32:19,783 | 92 | I can hear you. |
| 1057 | 01:32:24,330 | 01:32:25,455 | 92 | Who are you? |
| 1058 | 01:32:25,581 | 01:32:28,124 | 92 | I am the creator of a television show |
| 1059 | 01:32:28,209 | 01:32:31,211 | 92 | that gives hope and joy and inspiration to millions. |
| 1060 | 01:32:36,133 | 01:32:37,384 | 92 | Then who am I? |
| 1061 | 01:32:37,802 | 01:32:39,177 | 92 | You’re the star. |
| 1062 | 01:32:45,268 | 01:32:46,643 | 92 | Was nothing real? |
| 1063 | 01:32:47,270 | 01:32:48,520 | 92 | You were real. |
| 1064 | 01:32:49,981 | 01:32:52,274 | 92 | That’s what made you so good to watch. |
| 1065 | 01:32:52,984 | 01:32:54,526 | 92 | Listen to me, Truman. |
| 1066 | 01:32:54,652 | 01:32:56,820 | 92 | There’s no more truth out there |
| 1067 | 01:32:57,905 | 01:33:00,532 | 92 | than there is in the world I created for you. |
| 1068 | 01:33:02,493 | 01:33:04,035 | 93 | The same lies, |
| 1069 | 01:33:05,746 | 01:33:07,080 | 93 | the same deceit. |
| 1070 | 01:33:08,040 | 01:33:09,457 | 93 | But in my world |
| 1071 | 01:33:11,294 | 01:33:13,003 | 93 | you have nothing to fear. |
| 1072 | 01:33:16,382 | 01:33:18,925 | 93 | I know you better than you know yourself. |
| 1073 | 01:33:19,010 | 01:33:21,136 | 93 | You never had a camera in my head. |
| 1074 | 01:33:22,930 | 01:33:24,180 | 93 | You’re afraid. |
| 1075 | 01:33:25,474 | 01:33:27,267 | 93 | That’s why you can’t leave. |
| 1076 | 01:33:31,939 | 01:33:33,356 | 93 | It’s okay, Truman. |
| 1077 | 01:33:34,483 | 01:33:35,734 | 93 | I understand. |
| 1078 | 01:33:37,528 | 01:33:40,030 | 93 | I have been watching you your whole life. |
| 1079 | 01:33:42,825 | 01:33:44,951 | 93 | I was watching when you were born. |
| 1080 | 01:33:47,371 | 01:33:49,914 | 93 | I was watching when you took your first step. |
| 1081 | 01:33:54,211 | 01:33:56,713 | 93 | I watched you on your first day of school. |
| 1082 | 01:33:59,592 | 01:34:02,135 | 93 | The episode when you lost your first tooth. |
| 1083 | 01:34:06,599 | 01:34:08,308 | 94 | You can’t leave, Truman. |
| 1084 | 01:34:09,935 | 01:34:11,353 | 94 | Please, God. |
| 1085 | 01:34:11,437 | 01:34:12,896 | 94 | You belong here… |
| 1086 | 01:34:13,105 | 01:34:14,314 | 94 | You can do it. |
| 1087 | 01:34:16,233 | 01:34:17,442 | 94 | …with me. |
| 1088 | 01:34:19,945 | 01:34:21,237 | 94 | Talk to me. |
| 1089 | 01:34:22,615 | 01:34:23,865 | 94 | Say something. |
| 1090 | 01:34:28,287 | 01:34:31,414 | 94 | Say something, God damn it. You’re on television. |
| 1091 | 01:34:31,791 | 01:34:33,792 | 94 | You’re live to the whole world. |
| 1092 | 01:34:51,435 | 01:34:53,269 | 94 | In case I don’t see you, |
| 1093 | 01:34:54,438 | 01:34:56,981 | 94 | good afternoon, good evening, and good night. |
| 1094 | 01:35:00,194 | 01:35:01,236 | 95 | Yeah. |
| 1095 | 01:35:24,343 | 01:35:25,760 | 95 | Yeah! |
| 1096 | 01:35:35,479 | 01:35:38,523 | 95 | He made it! Yeah! All right, Truman! |
| 1097 | 01:35:48,367 | 01:35:50,869 | 95 | Cease transmission. Ceasing transmission. |
| 1098 | 01:35:55,583 | 01:35:57,876 | 95 | You want another slice? No. I’m okay. |
| 1099 | 01:35:58,711 | 01:36:00,712 | 95 | What else is on? Where’s the TV Guide? |
針對字幕進行斷詞，去除stop words
names(stop_words) <- c("word")
tokens <- movie %>%
unnest_tokens(word, text) %>%
anti_join(stop_words)
#斷詞後並去除stop words的結果
kable(tokens) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| id | start | end | start_minute | word |
|---|---|---|---|---|
| 1 | 00:00:19,436 | 00:00:23,939 | 0 | bored |
| 1 | 00:00:19,436 | 00:00:23,939 | 0 | watching |
| 1 | 00:00:19,436 | 00:00:23,939 | 0 | actors |
| 1 | 00:00:19,436 | 00:00:23,939 | 0 | phony |
| 1 | 00:00:19,436 | 00:00:23,939 | 0 | emotions |
| 2 | 00:00:24,691 | 00:00:28,402 | 0 | tired |
| 2 | 00:00:24,691 | 00:00:28,402 | 0 | pyrotechnics |
| 2 | 00:00:24,691 | 00:00:28,402 | 0 | special |
| 2 | 00:00:24,691 | 00:00:28,402 | 0 | effects |
| 3 | 00:00:28,945 | 00:00:33,782 | 0 | world |
| 3 | 00:00:28,945 | 00:00:33,782 | 0 | inhabits |
| 3 | 00:00:28,945 | 00:00:33,782 | 0 | respects |
| 3 | 00:00:28,945 | 00:00:33,782 | 0 | counterfeit |
| 4 | 00:00:34,743 | 00:00:37,661 | 0 | fake |
| 4 | 00:00:34,743 | 00:00:37,661 | 0 | truman |
| 5 | 00:00:38,371 | 00:00:40,956 | 0 | scripts |
| 5 | 00:00:38,371 | 00:00:40,956 | 0 | cue |
| 5 | 00:00:38,371 | 00:00:40,956 | 0 | cards |
| 6 | 00:00:41,750 | 00:00:44,793 | 0 | shakespeare |
| 6 | 00:00:41,750 | 00:00:44,793 | 0 | genuine |
| 7 | 00:00:45,545 | 00:00:46,962 | 0 | life |
| 10 | 00:01:01,311 | 00:01:02,811 | 1 | mister |
| 11 | 00:01:03,646 | 00:01:07,483 | 1 | top |
| 11 | 00:01:03,646 | 00:01:07,483 | 1 | mountain |
| 11 | 00:01:03,646 | 00:01:07,483 | 1 | broken |
| 11 | 00:01:03,646 | 00:01:07,483 | 1 | legs |
| 12 | 00:01:11,988 | 00:01:15,157 | 1 | viewers |
| 12 | 00:01:11,988 | 00:01:15,157 | 1 | leave |
| 12 | 00:01:11,988 | 00:01:15,157 | 1 | night |
| 12 | 00:01:11,988 | 00:01:15,157 | 1 | comfort |
| 13 | 00:01:16,993 | 00:01:19,161 | 1 | crazy |
| 14 | 00:01:22,415 | 00:01:26,585 | 1 | difference |
| 14 | 00:01:22,415 | 00:01:26,585 | 1 | private |
| 14 | 00:01:22,415 | 00:01:26,585 | 1 | life |
| 14 | 00:01:22,415 | 00:01:26,585 | 1 | public |
| 14 | 00:01:22,415 | 00:01:26,585 | 1 | life |
| 15 | 00:01:26,669 | 00:01:30,005 | 1 | life |
| 15 | 00:01:26,669 | 00:01:30,005 | 1 | life |
| 15 | 00:01:26,669 | 00:01:30,005 | 1 | truman |
| 16 | 00:01:30,090 | 00:01:32,424 | 1 | truman |
| 16 | 00:01:30,090 | 00:01:32,424 | 1 | lifestyle |
| 17 | 00:01:32,509 | 00:01:34,843 | 1 | noble |
| 17 | 00:01:32,509 | 00:01:34,843 | 1 | life |
| 18 | 00:01:37,722 | 00:01:39,306 | 1 | blessed |
| 18 | 00:01:37,722 | 00:01:39,306 | 1 | life |
| 19 | 00:01:39,390 | 00:01:42,017 | 1 | yeah |
| 20 | 00:01:43,394 | 00:01:46,146 | 1 | promise |
| 21 | 00:01:46,856 | 00:01:49,441 | 1 | die |
| 21 | 00:01:46,856 | 00:01:49,441 | 1 | reach |
| 21 | 00:01:46,856 | 00:01:49,441 | 1 | summit |
| 22 | 00:01:50,401 | 00:01:53,487 | 1 | alternative |
| 22 | 00:01:50,401 | 00:01:53,487 | 1 | source |
| 22 | 00:01:50,401 | 00:01:53,487 | 1 | food |
| 23 | 00:01:54,572 | 00:01:55,656 | 1 | gross |
| 24 | 00:01:59,160 | 00:02:01,370 | 1 | true |
| 24 | 00:01:59,160 | 00:02:01,370 | 1 | real |
| 25 | 00:02:01,579 | 00:02:05,290 | 2 | fake |
| 25 | 00:02:01,579 | 00:02:05,290 | 2 | fake |
| 26 | 00:02:05,667 | 00:02:07,042 | 2 | controlled |
| 27 | 00:02:15,301 | 00:02:18,262 | 2 | eat |
| 27 | 00:02:15,301 | 00:02:18,262 | 2 | damn |
| 28 | 00:02:21,224 | 00:02:23,392 | 2 | love |
| 28 | 00:02:21,224 | 00:02:23,392 | 2 | handles |
| 29 | 00:02:24,310 | 00:02:27,938 | 2 | love |
| 29 | 00:02:24,310 | 00:02:27,938 | 2 | handles |
| 29 | 00:02:24,310 | 00:02:27,938 | 2 | yeah |
| 30 | 00:02:28,231 | 00:02:30,691 | 2 | truman |
| 30 | 00:02:28,231 | 00:02:30,691 | 2 | late |
| 32 | 00:02:47,167 | 00:02:48,959 | 2 | morning |
| 32 | 00:02:47,167 | 00:02:48,959 | 2 | morning |
| 33 | 00:02:49,043 | 00:02:50,210 | 2 | morning |
| 34 | 00:02:50,295 | 00:02:54,590 | 2 | afternoon |
| 34 | 00:02:50,295 | 00:02:54,590 | 2 | evening |
| 34 | 00:02:50,295 | 00:02:54,590 | 2 | night |
| 35 | 00:02:55,550 | 00:02:56,842 | 2 | yeah |
| 36 | 00:02:56,926 | 00:02:58,844 | 2 | morning |
| 36 | 00:02:56,926 | 00:02:58,844 | 2 | truman |
| 36 | 00:02:56,926 | 00:02:58,844 | 2 | morning |
| 36 | 00:02:56,926 | 00:02:58,844 | 2 | spencer |
| 37 | 00:02:58,928 | 00:03:00,721 | 2 | hey |
| 37 | 00:02:58,928 | 00:03:00,721 | 2 | pluto |
| 38 | 00:03:00,805 | 00:03:02,556 | 3 | hurt |
| 40 | 00:03:04,309 | 00:03:06,560 | 3 | pluto |
| 42 | 00:03:51,272 | 00:03:55,525 | 3 | news |
| 42 | 00:03:51,272 | 00:03:55,525 | 3 | flash |
| 42 | 00:03:51,272 | 00:03:55,525 | 3 | aircraft |
| 42 | 00:03:51,272 | 00:03:55,525 | 3 | trouble |
| 42 | 00:03:51,272 | 00:03:55,525 | 3 | shedding |
| 43 | 00:03:55,610 | 00:03:58,695 | 3 | flew |
| 43 | 00:03:55,610 | 00:03:58,695 | 3 | seahaven |
| 43 | 00:03:55,610 | 00:03:58,695 | 3 | moments |
| 43 | 00:03:55,610 | 00:03:58,695 | 3 | ago |
| 44 | 00:03:58,780 | 00:04:00,489 | 3 | luckily |
| 44 | 00:03:58,780 | 00:04:00,489 | 3 | hurt |
| 45 | 00:04:00,573 | 00:04:02,658 | 4 | hey |
| 45 | 00:04:00,573 | 00:04:02,658 | 4 | feel |
| 46 | 00:04:02,992 | 00:04:05,077 | 4 | thinking |
| 46 | 00:04:02,992 | 00:04:05,077 | 4 | flying |
| 47 | 00:04:05,161 | 00:04:06,703 | 4 | nope |
| 48 | 00:04:06,788 | 00:04:08,872 | 4 | classical |
| 48 | 00:04:06,788 | 00:04:08,872 | 4 | clive |
| 48 | 00:04:06,788 | 00:04:08,872 | 4 | classical |
| 48 | 00:04:06,788 | 00:04:08,872 | 4 | drive |
| 49 | 00:04:08,957 | 00:04:11,291 | 4 | forget |
| 49 | 00:04:08,957 | 00:04:11,291 | 4 | perils |
| 49 | 00:04:08,957 | 00:04:11,291 | 4 | fiying |
| 50 | 00:04:11,376 | 00:04:14,378 | 4 | settle |
| 50 | 00:04:11,376 | 00:04:14,378 | 4 | music |
| 50 | 00:04:11,376 | 00:04:14,378 | 4 | calm |
| 51 | 00:04:18,758 | 00:04:21,176 | 4 | dog |
| 51 | 00:04:18,758 | 00:04:21,176 | 4 | fancy |
| 51 | 00:04:18,758 | 00:04:21,176 | 4 | dog |
| 51 | 00:04:18,758 | 00:04:21,176 | 4 | fancy |
| 53 | 00:04:24,847 | 00:04:27,015 | 4 | paper |
| 53 | 00:04:24,847 | 00:04:27,015 | 4 | earl |
| 54 | 00:04:27,100 | 00:04:30,060 | 4 | wife |
| 55 | 00:04:30,144 | 00:04:31,937 | 4 | loves |
| 55 | 00:04:30,144 | 00:04:31,937 | 4 | fashion |
| 55 | 00:04:30,144 | 00:04:31,937 | 4 | mags |
| 56 | 00:04:32,021 | 00:04:33,563 | 4 | truman |
| 57 | 00:04:33,648 | 00:04:36,024 | 4 | kit |
| 57 | 00:04:33,648 | 00:04:36,024 | 4 | caboodle |
| 57 | 00:04:33,648 | 00:04:36,024 | 4 | catch |
| 58 | 00:04:36,109 | 00:04:38,151 | 4 | yeah |
| 59 | 00:04:45,201 | 00:04:46,660 | 4 | morning |
| 60 | 00:04:47,870 | 00:04:49,830 | 4 | hank |
| 60 | 00:04:47,870 | 00:04:49,830 | 4 | morning |
| 60 | 00:04:47,870 | 00:04:49,830 | 4 | truman |
| 61 | 00:04:50,498 | 00:04:53,375 | 4 | morning |
| 61 | 00:04:50,498 | 00:04:53,375 | 4 | truman |
| 61 | 00:04:50,498 | 00:04:53,375 | 4 | guys |
| 62 | 00:04:53,459 | 00:04:55,711 | 4 | beautiful |
| 62 | 00:04:53,459 | 00:04:55,711 | 4 | day |
| 63 | 00:04:55,795 | 00:04:57,421 | 4 | lovely |
| 63 | 00:04:55,795 | 00:04:57,421 | 4 | wife |
| 65 | 00:05:00,508 | 00:05:03,010 | 5 | fine |
| 66 | 00:05:03,094 | 00:05:04,928 | 5 | nice |
| 66 | 00:05:03,094 | 00:05:04,928 | 5 | talking |
| 66 | 00:05:03,094 | 00:05:04,928 | 5 | truman |
| 68 | 00:05:06,222 | 00:05:09,850 | 5 | policy |
| 68 | 00:05:06,222 | 00:05:09,850 | 5 | deal |
| 69 | 00:05:09,934 | 00:05:12,144 | 5 | doppelg |
| 69 | 00:05:09,934 | 00:05:12,144 | 5 | 瓣 |
| 69 | 00:05:09,934 | 00:05:12,144 | 5 | nger |
| 69 | 00:05:09,934 | 00:05:12,144 | 5 | special |
| 71 | 00:05:16,024 | 00:05:18,608 | 5 | hey |
| 71 | 00:05:16,024 | 00:05:18,608 | 5 | fellows |
| 71 | 00:05:16,024 | 00:05:18,608 | 5 | ahead |
| 72 | 00:05:19,569 | 00:05:21,987 | 5 | ahead |
| 73 | 00:05:22,113 | 00:05:24,239 | 5 | anxious |
| 75 | 00:05:40,465 | 00:05:44,009 | 5 | directory |
| 75 | 00:05:40,465 | 00:05:44,009 | 5 | assistance |
| 75 | 00:05:40,465 | 00:05:44,009 | 5 | fiji |
| 75 | 00:05:40,465 | 00:05:44,009 | 5 | fiji |
| 75 | 00:05:40,465 | 00:05:44,009 | 5 | islands |
| 76 | 00:05:44,093 | 00:05:45,510 | 5 | truman |
| 77 | 00:05:48,181 | 00:05:49,473 | 5 | ma’am |
| 78 | 00:05:49,557 | 00:05:52,559 | 5 | coma |
| 78 | 00:05:49,557 | 00:05:52,559 | 5 | uninsurable |
| 79 | 00:05:54,103 | 00:05:56,688 | 5 | fiji |
| 80 | 00:05:57,065 | 00:05:59,858 | 5 | listing |
| 80 | 00:05:57,065 | 00:05:59,858 | 5 | lauren |
| 80 | 00:05:57,065 | 00:05:59,858 | 5 | garland |
| 81 | 00:06:01,069 | 00:06:02,611 | 6 | listed |
| 82 | 00:06:03,696 | 00:06:06,782 | 6 | sylvia |
| 82 | 00:06:03,696 | 00:06:06,782 | 6 | garland |
| 83 | 00:06:06,949 | 00:06:08,450 | 6 | sylvia |
| 86 | 00:06:50,618 | 00:06:52,536 | 6 | lawrence |
| 86 | 00:06:50,618 | 00:06:52,536 | 6 | hey |
| 86 | 00:06:50,618 | 00:06:52,536 | 6 | burbank |
| 87 | 00:06:52,620 | 00:06:56,039 | 6 | prospect |
| 87 | 00:06:52,620 | 00:06:56,039 | 6 | park |
| 87 | 00:06:52,620 | 00:06:56,039 | 6 | close |
| 88 | 00:06:58,459 | 00:06:59,835 | 6 | park |
| 89 | 00:07:02,839 | 00:07:05,966 | 7 | harbor |
| 89 | 00:07:02,839 | 00:07:05,966 | 7 | island |
| 90 | 00:07:06,050 | 00:07:09,886 | 7 | appointment |
| 90 | 00:07:06,050 | 00:07:09,886 | 7 | dentist |
| 91 | 00:07:12,265 | 00:07:16,059 | 7 | lose |
| 91 | 00:07:12,265 | 00:07:16,059 | 7 | lot |
| 91 | 00:07:12,265 | 00:07:16,059 | 7 | teeth |
| 91 | 00:07:12,265 | 00:07:16,059 | 7 | meet |
| 91 | 00:07:12,265 | 00:07:16,059 | 7 | quota |
| 92 | 00:07:16,144 | 00:07:17,727 | 7 | truman |
| 93 | 00:07:17,937 | 00:07:20,439 | 7 | cutbacks |
| 93 | 00:07:17,937 | 00:07:20,439 | 7 | month |
| 94 | 00:07:20,523 | 00:07:23,024 | 7 | cutbacks |
| 94 | 00:07:20,523 | 00:07:23,024 | 7 | yeah |
| 95 | 00:07:23,734 | 00:07:28,155 | 7 | halfhour |
| 95 | 00:07:23,734 | 00:07:28,155 | 7 | bay |
| 95 | 00:07:23,734 | 00:07:28,155 | 7 | sea |
| 95 | 00:07:23,734 | 00:07:28,155 | 7 | air |
| 98 | 00:07:41,502 | 00:07:44,671 | 7 | ferry’s |
| 98 | 00:07:41,502 | 00:07:44,671 | 7 | missed |
| 99 | 00:07:45,006 | 00:07:46,673 | 7 | oneway |
| 99 | 00:07:45,006 | 00:07:46,673 | 7 | return |
| 100 | 00:07:47,758 | 00:07:48,967 | 7 | return |
| 101 | 00:07:51,471 | 00:07:53,138 | 7 | sir |
| 102 | 00:08:50,905 | 00:08:54,449 | 8 | sir |
| 102 | 00:08:50,905 | 00:08:54,449 | 8 | ahead |
| 102 | 00:08:50,905 | 00:08:54,449 | 8 | fine |
| 103 | 00:08:56,077 | 00:08:57,285 | 8 | yeah |
| 104 | 00:09:10,800 | 00:09:12,133 | 9 | honey |
| 105 | 00:09:13,803 | 00:09:16,304 | 9 | free |
| 105 | 00:09:13,803 | 00:09:16,304 | 9 | checkout |
| 106 | 00:09:17,473 | 00:09:21,059 | 9 | chef’s |
| 106 | 00:09:17,473 | 00:09:21,059 | 9 | pal |
| 106 | 00:09:17,473 | 00:09:21,059 | 9 | dicer |
| 106 | 00:09:17,473 | 00:09:21,059 | 9 | grater |
| 106 | 00:09:17,473 | 00:09:21,059 | 9 | peeler |
| 107 | 00:09:21,143 | 00:09:23,895 | 9 | sharpening |
| 107 | 00:09:21,143 | 00:09:23,895 | 9 | dishwashersafe |
| 108 | 00:09:23,980 | 00:09:24,980 | 9 | wow |
| 109 | 00:09:26,107 | 00:09:27,649 | 9 | amazing |
| 110 | 00:09:28,818 | 00:09:30,068 | 9 | truman |
| 111 | 00:09:31,612 | 00:09:33,280 | 9 | missed |
| 111 | 00:09:31,612 | 00:09:33,280 | 9 | spot |
| 112 | 00:09:47,503 | 00:09:49,045 | 9 | beer |
| 113 | 00:09:51,173 | 00:09:53,717 | 9 | thinking |
| 113 | 00:09:51,173 | 00:09:53,717 | 9 | marlon |
| 114 | 00:09:53,801 | 00:09:55,719 | 9 | yeah |
| 115 | 00:09:56,012 | 00:09:58,346 | 9 | job |
| 115 | 00:09:56,012 | 00:09:58,346 | 9 | seahaven |
| 116 | 00:09:58,931 | 00:10:01,266 | 9 | island |
| 116 | 00:09:58,931 | 00:10:01,266 | 9 | job |
| 117 | 00:10:01,350 | 00:10:04,436 | 10 | hell’s |
| 117 | 00:10:01,350 | 00:10:04,436 | 10 | wrong |
| 117 | 00:10:01,350 | 00:10:04,436 | 10 | job |
| 117 | 00:10:01,350 | 00:10:04,436 | 10 | job |
| 117 | 00:10:01,350 | 00:10:04,436 | 10 | truman |
| 118 | 00:10:04,520 | 00:10:07,939 | 10 | desk |
| 118 | 00:10:04,520 | 00:10:07,939 | 10 | job |
| 118 | 00:10:04,520 | 00:10:07,939 | 10 | kill |
| 118 | 00:10:04,520 | 00:10:07,939 | 10 | desk |
| 118 | 00:10:04,520 | 00:10:07,939 | 10 | job |
| 120 | 00:10:12,069 | 00:10:14,487 | 10 | stocking |
| 120 | 00:10:12,069 | 00:10:14,487 | 10 | vending |
| 120 | 00:10:12,069 | 00:10:14,487 | 10 | machines |
| 120 | 00:10:12,069 | 00:10:14,487 | 10 | living |
| 121 | 00:10:14,572 | 00:10:17,198 | 10 | excitement |
| 122 | 00:10:17,867 | 00:10:20,493 | 10 | antsy |
| 122 | 00:10:17,867 | 00:10:20,493 | 10 | itchy |
| 122 | 00:10:17,867 | 00:10:20,493 | 10 | feet |
| 124 | 00:10:25,708 | 00:10:26,791 | 10 | fiji |
| 125 | 00:10:28,294 | 00:10:30,837 | 10 | hell’s |
| 125 | 00:10:28,294 | 00:10:30,837 | 10 | fiji |
| 125 | 00:10:28,294 | 00:10:30,837 | 10 | florida |
| 126 | 00:10:36,427 | 00:10:37,802 | 10 | yeah |
| 129 | 00:10:44,143 | 00:10:45,226 | 10 | fiji |
| 130 | 00:10:46,145 | 00:10:49,898 | 10 | start |
| 130 | 00:10:46,145 | 00:10:49,898 | 10 | coming |
| 131 | 00:10:50,107 | 00:10:52,859 | 10 | islands |
| 131 | 00:10:50,107 | 00:10:52,859 | 10 | fiji |
| 132 | 00:10:52,943 | 00:10:54,986 | 10 | human |
| 132 | 00:10:52,943 | 00:10:54,986 | 10 | set |
| 132 | 00:10:52,943 | 00:10:54,986 | 10 | foot |
| 134 | 00:11:02,953 | 00:11:04,746 | 11 | simple |
| 135 | 00:11:05,790 | 00:11:07,916 | 11 | takes |
| 135 | 00:11:05,790 | 00:11:07,916 | 11 | money |
| 136 | 00:11:08,918 | 00:11:10,210 | 11 | planning |
| 139 | 00:11:15,299 | 00:11:18,218 | 11 | worry |
| 140 | 00:11:18,928 | 00:11:21,513 | 11 | bonus |
| 140 | 00:11:18,928 | 00:11:21,513 | 11 | time |
| 140 | 00:11:18,928 | 00:11:21,513 | 11 | corner |
| 141 | 00:11:26,227 | 00:11:29,521 | 11 | coming |
| 141 | 00:11:26,227 | 00:11:29,521 | 11 | drink |
| 141 | 00:11:26,227 | 00:11:29,521 | 11 | tonight |
| 142 | 00:11:48,958 | 00:11:52,419 | 11 | weather |
| 142 | 00:11:48,958 | 00:11:52,419 | 11 | son |
| 142 | 00:11:48,958 | 00:11:52,419 | 11 | head |
| 143 | 00:11:52,503 | 00:11:55,046 | 11 | dad |
| 144 | 00:11:55,131 | 00:11:57,674 | 11 | bit |
| 144 | 00:11:55,131 | 00:11:57,674 | 11 | farther |
| 144 | 00:11:55,131 | 00:11:57,674 | 11 | son |
| 144 | 00:11:55,131 | 00:11:57,674 | 11 | listen |
| 146 | 00:12:02,054 | 00:12:03,805 | 12 | daddy |
| 147 | 00:13:18,798 | 00:13:21,382 | 13 | soaked |
| 148 | 00:13:21,467 | 00:13:23,676 | 13 | figure |
| 148 | 00:13:21,467 | 00:13:23,676 | 13 | scrape |
| 148 | 00:13:21,467 | 00:13:23,676 | 13 | 8,000 |
| 149 | 00:13:23,761 | 00:13:25,136 | 13 | time |
| 149 | 00:13:23,761 | 00:13:25,136 | 13 | marlon |
| 150 | 00:13:25,221 | 00:13:27,305 | 13 | bum |
| 150 | 00:13:25,221 | 00:13:27,305 | 13 | world |
| 151 | 00:13:27,389 | 00:13:31,142 | 13 | truman |
| 151 | 00:13:27,389 | 00:13:31,142 | 13 | ago |
| 152 | 00:13:31,560 | 00:13:35,688 | 13 | talking |
| 152 | 00:13:31,560 | 00:13:35,688 | 13 | teenager |
| 152 | 00:13:31,560 | 00:13:35,688 | 13 | feel |
| 152 | 00:13:31,560 | 00:13:35,688 | 13 | teenager |
| 153 | 00:13:36,273 | 00:13:38,733 | 13 | mortgage |
| 153 | 00:13:36,273 | 00:13:38,733 | 13 | payments |
| 153 | 00:13:36,273 | 00:13:38,733 | 13 | truman |
| 154 | 00:13:39,026 | 00:13:40,401 | 13 | car |
| 154 | 00:13:39,026 | 00:13:40,401 | 13 | payments |
| 155 | 00:13:40,486 | 00:13:43,613 | 13 | walk |
| 155 | 00:13:40,486 | 00:13:43,613 | 13 | financial |
| 155 | 00:13:40,486 | 00:13:43,613 | 13 | obligations |
| 156 | 00:13:43,697 | 00:13:45,698 | 13 | adventure |
| 157 | 00:13:46,158 | 00:13:50,829 | 13 | baby |
| 157 | 00:13:46,158 | 00:13:50,829 | 13 | adventure |
| 158 | 00:13:51,747 | 00:13:54,249 | 13 | wait |
| 159 | 00:13:54,333 | 00:13:57,085 | 13 | world |
| 159 | 00:13:54,333 | 00:13:57,085 | 13 | explore |
| 160 | 00:13:57,169 | 00:14:00,088 | 13 | honey |
| 160 | 00:13:57,169 | 00:14:00,088 | 13 | explorer |
| 161 | 00:14:01,465 | 00:14:02,924 | 14 | this’ll |
| 161 | 00:14:01,465 | 00:14:02,924 | 14 | pass |
| 163 | 00:14:08,973 | 00:14:11,766 | 14 | wet |
| 163 | 00:14:08,973 | 00:14:11,766 | 14 | clothes |
| 164 | 00:14:12,268 | 00:14:13,685 | 14 | bed |
| 166 | 00:14:18,065 | 00:14:20,984 | 14 | camera |
| 166 | 00:14:18,065 | 00:14:20,984 | 14 | play |
| 166 | 00:14:18,065 | 00:14:20,984 | 14 | music |
| 167 | 00:14:21,443 | 00:14:24,195 | 14 | wind |
| 167 | 00:14:21,443 | 00:14:24,195 | 14 | blows |
| 167 | 00:14:21,443 | 00:14:24,195 | 14 | curtains |
| 167 | 00:14:21,443 | 00:14:24,195 | 14 | move |
| 169 | 00:14:30,703 | 00:14:32,954 | 14 | dog |
| 169 | 00:14:30,703 | 00:14:32,954 | 14 | fancy |
| 169 | 00:14:30,703 | 00:14:32,954 | 14 | dog |
| 169 | 00:14:30,703 | 00:14:32,954 | 14 | fancy |
| 171 | 00:14:37,459 | 00:14:39,586 | 14 | paper |
| 171 | 00:14:37,459 | 00:14:39,586 | 14 | earl |
| 171 | 00:14:37,459 | 00:14:39,586 | 14 | paper |
| 172 | 00:14:41,171 | 00:14:44,549 | 14 | pick |
| 173 | 00:14:44,675 | 00:14:47,302 | 14 | wife |
| 174 | 00:14:47,928 | 00:14:50,972 | 14 | truman |
| 174 | 00:14:47,928 | 00:14:50,972 | 14 | ball |
| 174 | 00:14:47,928 | 00:14:50,972 | 14 | wax |
| 175 | 00:14:51,473 | 00:14:53,391 | 14 | catch |
| 176 | 00:15:14,246 | 00:15:15,330 | 15 | dad |
| 179 | 00:15:24,006 | 00:15:25,340 | 15 | stop |
| 180 | 00:15:27,843 | 00:15:29,510 | 15 | stop |
| 180 | 00:15:27,843 | 00:15:29,510 | 15 | people |
| 181 | 00:15:32,640 | 00:15:35,975 | 15 | doors |
| 181 | 00:15:32,640 | 00:15:35,975 | 15 | stop |
| 181 | 00:15:32,640 | 00:15:35,975 | 15 | bus |
| 182 | 00:15:36,393 | 00:15:39,187 | 15 | stop |
| 182 | 00:15:36,393 | 00:15:39,187 | 15 | bus |
| 182 | 00:15:36,393 | 00:15:39,187 | 15 | stop |
| 183 | 00:15:40,105 | 00:15:42,273 | 15 | stop |
| 183 | 00:15:40,105 | 00:15:42,273 | 15 | bus |
| 184 | 00:15:55,746 | 00:15:58,665 | 15 | funny |
| 185 | 00:16:04,630 | 00:16:07,340 | 16 | sound |
| 185 | 00:16:04,630 | 00:16:07,340 | 16 | insane |
| 185 | 00:16:04,630 | 00:16:07,340 | 16 | truman |
| 186 | 00:16:07,549 | 00:16:11,302 | 16 | 10 |
| 186 | 00:16:07,549 | 00:16:11,302 | 16 | times |
| 186 | 00:16:07,549 | 00:16:11,302 | 16 | week |
| 186 | 00:16:07,549 | 00:16:11,302 | 16 | 100 |
| 187 | 00:16:11,470 | 00:16:15,306 | 16 | hugged |
| 187 | 00:16:11,470 | 00:16:15,306 | 16 | perfect |
| 187 | 00:16:11,470 | 00:16:15,306 | 16 | stranger |
| 187 | 00:16:11,470 | 00:16:15,306 | 16 | salon |
| 187 | 00:16:11,470 | 00:16:15,306 | 16 | thursday |
| 188 | 00:16:15,391 | 00:16:18,977 | 16 | dad |
| 188 | 00:16:15,391 | 00:16:18,977 | 16 | swear |
| 188 | 00:16:15,391 | 00:16:18,977 | 16 | dressed |
| 188 | 00:16:15,391 | 00:16:18,977 | 16 | homeless |
| 189 | 00:16:19,478 | 00:16:20,979 | 16 | strange |
| 190 | 00:16:21,063 | 00:16:23,064 | 16 | businessman |
| 190 | 00:16:21,063 | 00:16:23,064 | 16 | woman |
| 190 | 00:16:21,063 | 00:16:23,064 | 16 | dog |
| 191 | 00:16:23,148 | 00:16:25,775 | 16 | forced |
| 191 | 00:16:23,148 | 00:16:25,775 | 16 | bus |
| 192 | 00:16:25,859 | 00:16:28,653 | 16 | time |
| 192 | 00:16:25,859 | 00:16:28,653 | 16 | cleaned |
| 192 | 00:16:25,859 | 00:16:28,653 | 16 | trash |
| 192 | 00:16:25,859 | 00:16:28,653 | 16 | downtown |
| 193 | 00:16:28,737 | 00:16:31,447 | 16 | rest |
| 193 | 00:16:28,737 | 00:16:31,447 | 16 | country |
| 194 | 00:16:31,532 | 00:16:34,075 | 16 | found |
| 194 | 00:16:31,532 | 00:16:34,075 | 16 | dad’s |
| 194 | 00:16:31,532 | 00:16:34,075 | 16 | body |
| 195 | 00:16:34,159 | 00:16:35,159 | 16 | god |
| 196 | 00:16:35,244 | 00:16:38,538 | 16 | telling |
| 196 | 00:16:35,244 | 00:16:38,538 | 16 | twin |
| 197 | 00:16:39,999 | 00:16:44,043 | 16 | dad |
| 197 | 00:16:39,999 | 00:16:44,043 | 16 | brother |
| 197 | 00:16:39,999 | 00:16:44,043 | 16 | truman |
| 197 | 00:16:39,999 | 00:16:44,043 | 16 | perfectly |
| 198 | 00:16:44,420 | 00:16:48,798 | 16 | father |
| 198 | 00:16:44,420 | 00:16:48,798 | 16 | child |
| 199 | 00:16:51,510 | 00:16:53,052 | 16 | sweetie |
| 200 | 00:16:53,721 | 00:16:56,889 | 16 | feeling |
| 200 | 00:16:53,721 | 00:16:56,889 | 16 | bad |
| 200 | 00:16:53,721 | 00:16:56,889 | 16 | happened |
| 201 | 00:16:58,142 | 00:17:01,102 | 16 | sailing |
| 201 | 00:16:58,142 | 00:17:01,102 | 16 | storm |
| 202 | 00:17:04,273 | 00:17:06,774 | 17 | blamed |
| 202 | 00:17:04,273 | 00:17:06,774 | 17 | truman |
| 203 | 00:17:07,901 | 00:17:09,944 | 17 | blame |
| 204 | 00:17:56,200 | 00:17:57,408 | 17 | truman |
| 206 | 00:18:05,167 | 00:18:06,793 | 18 | fixing |
| 206 | 00:18:05,167 | 00:18:06,793 | 18 | mower |
| 207 | 00:18:10,464 | 00:18:12,673 | 18 | father |
| 208 | 00:18:16,011 | 00:18:17,762 | 18 | mother |
| 208 | 00:18:16,011 | 00:18:17,762 | 18 | called |
| 209 | 00:18:19,598 | 00:18:22,391 | 18 | upset |
| 211 | 00:18:25,437 | 00:18:27,021 | 18 | macaroni |
| 212 | 00:18:27,689 | 00:18:29,190 | 18 | hungry |
| 213 | 00:18:30,025 | 00:18:33,653 | 18 | throw |
| 213 | 00:18:30,025 | 00:18:33,653 | 18 | mower |
| 214 | 00:18:34,822 | 00:18:37,240 | 18 | elk |
| 214 | 00:18:34,822 | 00:18:37,240 | 18 | rotaries |
| 216 | 00:19:15,529 | 00:19:18,489 | 19 | rid |
| 216 | 00:19:15,529 | 00:19:18,489 | 19 | erase |
| 216 | 00:19:15,529 | 00:19:18,489 | 19 | memory |
| 217 | 00:19:18,574 | 00:19:20,241 | 19 | memory |
| 218 | 00:20:12,961 | 00:20:15,296 | 20 | excuse |
| 219 | 00:20:15,380 | 00:20:17,632 | 20 | fell |
| 220 | 00:20:17,716 | 00:20:20,843 | 20 | klutz |
| 220 | 00:20:17,716 | 00:20:20,843 | 20 | day |
| 222 | 00:20:22,512 | 00:20:25,556 | 20 | sprained |
| 222 | 00:20:22,512 | 00:20:25,556 | 20 | ankle |
| 222 | 00:20:22,512 | 00:20:25,556 | 20 | goodness |
| 223 | 00:20:25,641 | 00:20:29,518 | 20 | fall |
| 223 | 00:20:25,641 | 00:20:29,518 | 20 | worry |
| 224 | 00:20:29,603 | 00:20:31,979 | 20 | meryl |
| 224 | 00:20:29,603 | 00:20:31,979 | 20 | truman |
| 225 | 00:20:32,064 | 00:20:33,522 | 20 | hey |
| 225 | 00:20:32,064 | 00:20:33,522 | 20 | nice |
| 225 | 00:20:32,064 | 00:20:33,522 | 20 | meet |
| 226 | 00:21:59,151 | 00:22:03,529 | 21 | truman |
| 226 | 00:21:59,151 | 00:22:03,529 | 21 | studied |
| 226 | 00:21:59,151 | 00:22:03,529 | 21 | commit |
| 226 | 00:21:59,151 | 00:22:03,529 | 21 | memory |
| 227 | 00:22:03,739 | 00:22:05,573 | 22 | truman |
| 227 | 00:22:03,739 | 00:22:05,573 | 22 | icecold |
| 227 | 00:22:03,739 | 00:22:05,573 | 22 | brewski |
| 229 | 00:22:07,451 | 00:22:10,745 | 22 | copy |
| 229 | 00:22:07,451 | 00:22:10,745 | 22 | careful |
| 230 | 00:22:13,332 | 00:22:15,374 | 22 | person |
| 232 | 00:22:16,793 | 00:22:18,169 | 22 | bye |
| 232 | 00:22:16,793 | 00:22:18,169 | 22 | bye |
| 233 | 00:22:19,004 | 00:22:20,796 | 22 | loser |
| 235 | 00:23:27,531 | 00:23:30,408 | 23 | konnichiwa |
| 236 | 00:23:31,034 | 00:23:32,701 | 23 | japanese |
| 238 | 00:23:38,250 | 00:23:39,750 | 23 | lauren |
| 240 | 00:23:43,171 | 00:23:44,672 | 23 | lauren |
| 241 | 00:23:46,091 | 00:23:47,842 | 23 | truman |
| 241 | 00:23:46,091 | 00:23:47,842 | 23 | burbank |
| 242 | 00:23:48,343 | 00:23:50,553 | 23 | yeah |
| 243 | 00:23:51,513 | 00:23:54,098 | 23 | truman |
| 243 | 00:23:51,513 | 00:23:54,098 | 23 | allowed |
| 243 | 00:23:51,513 | 00:23:54,098 | 23 | talk |
| 245 | 00:23:58,186 | 00:24:01,814 | 23 | yeah |
| 245 | 00:23:58,186 | 00:24:01,814 | 23 | understand |
| 245 | 00:23:58,186 | 00:24:01,814 | 23 | pretty |
| 245 | 00:23:58,186 | 00:24:01,814 | 23 | dangerous |
| 245 | 00:23:58,186 | 00:24:01,814 | 23 | character |
| 247 | 00:24:04,985 | 00:24:07,069 | 24 | girl’s |
| 247 | 00:24:04,985 | 00:24:07,069 | 24 | careful |
| 248 | 00:24:09,906 | 00:24:13,033 | 24 | boyfriend |
| 249 | 00:24:13,118 | 00:24:16,662 | 24 | meryl |
| 249 | 00:24:13,118 | 00:24:16,662 | 24 | girl |
| 250 | 00:24:17,581 | 00:24:19,165 | 24 | friends |
| 252 | 00:24:22,002 | 00:24:23,502 | 24 | type |
| 254 | 00:24:27,549 | 00:24:28,549 | 24 | pin |
| 255 | 00:24:29,759 | 00:24:31,886 | 24 | wondering |
| 256 | 00:24:33,388 | 00:24:35,890 | 24 | possibly |
| 257 | 00:24:36,433 | 00:24:39,935 | 24 | pizza |
| 258 | 00:24:40,187 | 00:24:41,645 | 24 | friday |
| 259 | 00:24:42,772 | 00:24:44,106 | 24 | saturday |
| 260 | 00:24:44,191 | 00:24:46,150 | 24 | sunday |
| 260 | 00:24:44,191 | 00:24:46,150 | 24 | monday |
| 260 | 00:24:44,191 | 00:24:46,150 | 24 | tuesday |
| 261 | 00:24:50,572 | 00:24:53,240 | 24 | finals |
| 261 | 00:24:50,572 | 00:24:53,240 | 24 | tomorrow |
| 261 | 00:24:50,572 | 00:24:53,240 | 24 | yeah |
| 262 | 00:24:54,409 | 00:24:56,911 | 24 | happen |
| 263 | 00:24:57,913 | 00:25:01,457 | 24 | understand |
| 264 | 00:25:35,951 | 00:25:38,619 | 25 | hands |
| 264 | 00:25:35,951 | 00:25:38,619 | 25 | inside |
| 264 | 00:25:35,951 | 00:25:38,619 | 25 | car |
| 265 | 00:25:55,929 | 00:25:58,389 | 25 | favorite |
| 265 | 00:25:55,929 | 00:25:58,389 | 25 | pizza |
| 266 | 00:25:58,473 | 00:25:59,515 | 25 | tony |
| 267 | 00:25:59,641 | 00:26:01,642 | 25 | extra |
| 267 | 00:25:59,641 | 00:26:01,642 | 25 | plankton |
| 268 | 00:26:02,394 | 00:26:05,771 | 26 | time |
| 268 | 00:26:02,394 | 00:26:05,771 | 26 | minute |
| 269 | 00:26:05,897 | 00:26:08,816 | 26 | talking |
| 270 | 00:26:09,317 | 00:26:10,943 | 26 | talk |
| 272 | 00:26:27,961 | 00:26:29,503 | 26 | truman |
| 273 | 00:26:29,588 | 00:26:31,714 | 26 | listen |
| 275 | 00:26:33,592 | 00:26:35,593 | 26 | pretending |
| 275 | 00:26:33,592 | 00:26:35,593 | 26 | truman |
| 275 | 00:26:33,592 | 00:26:35,593 | 26 | understand |
| 276 | 00:26:35,677 | 00:26:37,261 | 26 | everybody’s |
| 276 | 00:26:35,677 | 00:26:37,261 | 26 | pretending |
| 277 | 00:26:37,345 | 00:26:39,263 | 26 | name’s |
| 277 | 00:26:37,345 | 00:26:39,263 | 26 | lauren |
| 277 | 00:26:37,345 | 00:26:39,263 | 26 | sylvia |
| 278 | 00:26:39,347 | 00:26:40,639 | 26 | name’s |
| 278 | 00:26:39,347 | 00:26:40,639 | 26 | sylvia |
| 278 | 00:26:39,347 | 00:26:40,639 | 26 | sylvia |
| 279 | 00:26:40,724 | 00:26:43,100 | 26 | yeah |
| 279 | 00:26:40,724 | 00:26:43,100 | 26 | lauren |
| 279 | 00:26:40,724 | 00:26:43,100 | 26 | sweetheart |
| 280 | 00:26:43,184 | 00:26:46,103 | 26 | wait |
| 280 | 00:26:43,184 | 00:26:46,103 | 26 | minute |
| 280 | 00:26:43,184 | 00:26:46,103 | 26 | father |
| 282 | 00:26:49,190 | 00:26:51,942 | 26 | lying |
| 282 | 00:26:49,190 | 00:26:51,942 | 26 | truman |
| 282 | 00:26:49,190 | 00:26:51,942 | 26 | listen |
| 283 | 00:26:52,027 | 00:26:56,780 | 26 | told |
| 283 | 00:26:52,027 | 00:26:56,780 | 26 | truth |
| 283 | 00:26:52,027 | 00:26:56,780 | 26 | fake |
| 284 | 00:26:56,865 | 00:26:59,700 | 26 | understand |
| 284 | 00:26:56,865 | 00:26:59,700 | 26 | sky |
| 284 | 00:26:56,865 | 00:26:59,700 | 26 | sea |
| 284 | 00:26:56,865 | 00:26:59,700 | 26 | set |
| 286 | 00:27:00,869 | 00:27:03,245 | 27 | everybody’s |
| 286 | 00:27:00,869 | 00:27:03,245 | 27 | watching |
| 286 | 00:27:00,869 | 00:27:03,245 | 27 | listen |
| 287 | 00:27:03,330 | 00:27:05,456 | 27 | lie |
| 287 | 00:27:03,330 | 00:27:05,456 | 27 | watching |
| 288 | 00:27:05,540 | 00:27:08,542 | 27 | schizophrenia |
| 288 | 00:27:05,540 | 00:27:08,542 | 27 | episodes |
| 290 | 00:27:10,045 | 00:27:13,380 | 27 | hypnotism |
| 290 | 00:27:10,045 | 00:27:13,380 | 27 | shock |
| 290 | 00:27:10,045 | 00:27:13,380 | 27 | therapy |
| 290 | 00:27:10,045 | 00:27:13,380 | 27 | worry |
| 291 | 00:27:13,465 | 00:27:15,507 | 27 | truman |
| 292 | 00:27:15,592 | 00:27:18,969 | 27 | brings |
| 292 | 00:27:15,592 | 00:27:18,969 | 27 | boyfriends |
| 293 | 00:27:19,054 | 00:27:21,639 | 27 | truman |
| 293 | 00:27:19,054 | 00:27:21,639 | 27 | lying |
| 294 | 00:27:22,557 | 00:27:24,892 | 27 | worry |
| 295 | 00:27:24,976 | 00:27:28,437 | 27 | fiji |
| 295 | 00:27:24,976 | 00:27:28,437 | 27 | fiji |
| 295 | 00:27:24,976 | 00:27:28,437 | 27 | moving |
| 295 | 00:27:24,976 | 00:27:28,437 | 27 | fiji |
| 296 | 00:27:28,521 | 00:27:29,605 | 27 | fiji |
| 297 | 00:27:41,576 | 00:27:42,785 | 27 | sylvia |
| 298 | 00:27:42,869 | 00:27:43,869 | 27 | hey |
| 299 | 00:27:53,463 | 00:27:55,923 | 27 | follow |
| 299 | 00:27:53,463 | 00:27:55,923 | 27 | fiji |
| 300 | 00:27:56,007 | 00:28:00,469 | 27 | mother |
| 300 | 00:27:56,007 | 00:28:00,469 | 27 | sick |
| 300 | 00:27:56,007 | 00:28:00,469 | 27 | sick |
| 300 | 00:27:56,007 | 00:28:00,469 | 27 | leave |
| 302 | 00:28:02,889 | 00:28:05,516 | 28 | married |
| 302 | 00:28:02,889 | 00:28:05,516 | 28 | meryl |
| 302 | 00:28:02,889 | 00:28:05,516 | 28 | rebound |
| 303 | 00:28:05,600 | 00:28:06,934 | 28 | excuse |
| 304 | 00:28:07,060 | 00:28:08,310 | 28 | sal |
| 305 | 00:28:08,395 | 00:28:11,480 | 28 | hits |
| 305 | 00:28:08,395 | 00:28:11,480 | 28 | tape |
| 306 | 00:28:11,564 | 00:28:12,606 | 28 | borrow |
| 307 | 00:28:59,654 | 00:29:01,572 | 28 | close |
| 307 | 00:28:59,654 | 00:29:01,572 | 28 | cigar |
| 308 | 00:29:29,934 | 00:29:32,603 | 29 | beautifui |
| 308 | 00:29:29,934 | 00:29:32,603 | 29 | day |
| 308 | 00:29:29,934 | 00:29:32,603 | 29 | paradise |
| 308 | 00:29:29,934 | 00:29:32,603 | 29 | folks |
| 309 | 00:29:32,687 | 00:29:35,439 | 29 | forget |
| 309 | 00:29:32,687 | 00:29:35,439 | 29 | buckle |
| 309 | 00:29:32,687 | 00:29:35,439 | 29 | radioland |
| 310 | 00:29:35,523 | 00:29:37,649 | 29 | remember |
| 310 | 00:29:35,523 | 00:29:37,649 | 29 | driver |
| 311 | 00:29:46,493 | 00:29:48,118 | 29 | wait |
| 311 | 00:29:46,493 | 00:29:48,118 | 29 | cue |
| 312 | 00:29:49,913 | 00:29:51,413 | 29 | stand |
| 313 | 00:29:52,040 | 00:29:53,832 | 29 | countdown |
| 313 | 00:29:52,040 | 00:29:53,832 | 29 | action |
| 314 | 00:29:53,958 | 00:29:55,459 | 29 | stand |
| 315 | 00:29:58,463 | 00:30:01,507 | 29 | heading |
| 315 | 00:29:58,463 | 00:30:01,507 | 29 | west |
| 315 | 00:29:58,463 | 00:30:01,507 | 29 | stewart |
| 315 | 00:29:58,463 | 00:30:01,507 | 29 | stand |
| 315 | 00:29:58,463 | 00:30:01,507 | 29 | extras |
| 316 | 00:30:01,591 | 00:30:05,928 | 30 | 90 |
| 316 | 00:30:01,591 | 00:30:05,928 | 30 | props |
| 316 | 00:30:01,591 | 00:30:05,928 | 30 | coffee’s |
| 316 | 00:30:01,591 | 00:30:05,928 | 30 | hot |
| 317 | 00:30:06,054 | 00:30:09,223 | 30 | lancaster |
| 317 | 00:30:06,054 | 00:30:09,223 | 30 | square |
| 318 | 00:30:11,810 | 00:30:13,560 | 30 | god |
| 318 | 00:30:11,810 | 00:30:13,560 | 30 | hit |
| 319 | 00:30:13,645 | 00:30:15,813 | 30 | something’s |
| 319 | 00:30:13,645 | 00:30:15,813 | 30 | wrong |
| 319 | 00:30:13,645 | 00:30:15,813 | 30 | change |
| 319 | 00:30:13,645 | 00:30:15,813 | 30 | frequencies |
| 320 | 00:30:21,194 | 00:30:22,903 | 30 | folks |
| 321 | 00:30:22,987 | 00:30:25,322 | 30 | guess |
| 321 | 00:30:22,987 | 00:30:25,322 | 30 | picked |
| 321 | 00:30:22,987 | 00:30:25,322 | 30 | police |
| 321 | 00:30:22,987 | 00:30:25,322 | 30 | frequency |
| 322 | 00:30:25,406 | 00:30:28,325 | 30 | drive |
| 322 | 00:30:25,406 | 00:30:28,325 | 30 | crazy |
| 323 | 00:30:28,409 | 00:30:30,536 | 30 | classical |
| 323 | 00:30:28,409 | 00:30:30,536 | 30 | clive |
| 324 | 00:30:30,620 | 00:30:33,163 | 30 | music |
| 324 | 00:30:30,620 | 00:30:33,163 | 30 | ahead |
| 325 | 00:30:33,248 | 00:30:34,498 | 30 | forget |
| 325 | 00:30:33,248 | 00:30:34,498 | 30 | buckle |
| 326 | 00:30:34,582 | 00:30:37,209 | 30 | remember |
| 326 | 00:30:34,582 | 00:30:37,209 | 30 | safety |
| 326 | 00:30:34,582 | 00:30:37,209 | 30 | driver |
| 326 | 00:30:34,582 | 00:30:37,209 | 30 | safe |
| 326 | 00:30:34,582 | 00:30:37,209 | 30 | driver |
| 327 | 00:30:37,293 | 00:30:39,419 | 30 | safe |
| 327 | 00:30:37,293 | 00:30:39,419 | 30 | driver |
| 328 | 00:30:55,395 | 00:30:56,937 | 30 | morning |
| 328 | 00:30:55,395 | 00:30:56,937 | 30 | ma’am |
| 329 | 00:32:36,704 | 00:32:39,039 | 32 | love |
| 329 | 00:32:36,704 | 00:32:39,039 | 32 | idea |
| 329 | 00:32:36,704 | 00:32:39,039 | 32 | pretty |
| 329 | 00:32:36,704 | 00:32:39,039 | 32 | cool |
| 331 | 00:33:44,856 | 00:33:47,232 | 33 | yeah |
| 331 | 00:33:44,856 | 00:33:47,232 | 33 | appointment |
| 331 | 00:33:44,856 | 00:33:47,232 | 33 | gable |
| 331 | 00:33:44,856 | 00:33:47,232 | 33 | enterprises |
| 332 | 00:33:47,316 | 00:33:48,775 | 33 | bust |
| 333 | 00:33:53,906 | 00:33:55,991 | 33 | happening |
| 334 | 00:33:56,075 | 00:33:59,202 | 33 | happening |
| 334 | 00:33:56,075 | 00:33:59,202 | 33 | sir |
| 334 | 00:33:56,075 | 00:33:59,202 | 33 | remodeling |
| 335 | 00:33:59,287 | 00:34:01,288 | 33 | people |
| 336 | 00:34:01,372 | 00:34:03,081 | 34 | business |
| 337 | 00:34:03,166 | 00:34:05,625 | 34 | happening |
| 337 | 00:34:03,166 | 00:34:05,625 | 34 | report |
| 338 | 00:34:05,710 | 00:34:07,461 | 34 | trespassing |
| 339 | 00:34:38,743 | 00:34:39,951 | 34 | marlon |
| 340 | 00:34:40,495 | 00:34:43,246 | 34 | truman |
| 340 | 00:34:40,495 | 00:34:43,246 | 34 | talk |
| 341 | 00:34:43,331 | 00:34:45,207 | 34 | bad |
| 341 | 00:34:43,331 | 00:34:45,207 | 34 | time |
| 342 | 00:34:45,291 | 00:34:47,834 | 34 | marlon |
| 343 | 00:34:47,960 | 00:34:51,004 | 34 | shit |
| 343 | 00:34:47,960 | 00:34:51,004 | 34 | mixed |
| 344 | 00:34:51,089 | 00:34:52,130 | 34 | mixed |
| 345 | 00:34:52,215 | 00:34:53,965 | 34 | explain |
| 346 | 00:34:54,050 | 00:34:57,177 | 34 | lot |
| 346 | 00:34:54,050 | 00:34:57,177 | 34 | strange |
| 346 | 00:34:54,050 | 00:34:57,177 | 34 | happening |
| 347 | 00:35:00,556 | 00:35:04,267 | 35 | people |
| 347 | 00:35:00,556 | 00:35:04,267 | 35 | elevator |
| 348 | 00:35:04,352 | 00:35:06,895 | 35 | looked |
| 348 | 00:35:04,352 | 00:35:06,895 | 35 | people |
| 349 | 00:35:06,979 | 00:35:10,190 | 35 | radio |
| 349 | 00:35:06,979 | 00:35:10,190 | 35 | starts |
| 350 | 00:35:10,274 | 00:35:11,983 | 35 | talking |
| 351 | 00:35:12,068 | 00:35:14,736 | 35 | truman |
| 351 | 00:35:12,068 | 00:35:14,736 | 35 | fantasies |
| 352 | 00:35:14,821 | 00:35:16,238 | 35 | dad |
| 353 | 00:35:16,322 | 00:35:18,532 | 35 | dad |
| 353 | 00:35:16,322 | 00:35:18,532 | 35 | alive |
| 354 | 00:35:19,367 | 00:35:23,411 | 35 | yeah |
| 356 | 00:35:26,707 | 00:35:30,168 | 35 | hard |
| 356 | 00:35:26,707 | 00:35:30,168 | 35 | regular |
| 356 | 00:35:26,707 | 00:35:30,168 | 35 | people |
| 358 | 00:35:38,094 | 00:35:41,888 | 35 | unpredictable |
| 359 | 00:35:43,224 | 00:35:45,684 | 35 | happen |
| 360 | 00:35:46,144 | 00:35:47,978 | 35 | gotta |
| 360 | 00:35:46,144 | 00:35:47,978 | 35 | ready |
| 362 | 00:35:50,022 | 00:35:51,731 | 35 | told |
| 363 | 00:35:55,403 | 00:35:57,904 | 35 | asses |
| 363 | 00:35:55,403 | 00:35:57,904 | 35 | fired |
| 365 | 00:36:00,241 | 00:36:02,367 | 36 | game |
| 366 | 00:36:02,451 | 00:36:04,953 | 36 | talking |
| 366 | 00:36:02,451 | 00:36:04,953 | 36 | sirree |
| 367 | 00:36:05,079 | 00:36:07,581 | 36 | birthday |
| 368 | 00:36:10,668 | 00:36:13,253 | 36 | set |
| 369 | 00:36:13,754 | 00:36:15,505 | 36 | marlon |
| 370 | 00:36:15,590 | 00:36:18,675 | 36 | life |
| 370 | 00:36:15,590 | 00:36:18,675 | 36 | building |
| 372 | 00:36:22,180 | 00:36:24,806 | 36 | hauling |
| 372 | 00:36:22,180 | 00:36:24,806 | 36 | chickens |
| 372 | 00:36:22,180 | 00:36:24,806 | 36 | summer |
| 372 | 00:36:22,180 | 00:36:24,806 | 36 | kaiser |
| 373 | 00:36:24,891 | 00:36:27,434 | 36 | furthest |
| 373 | 00:36:24,891 | 00:36:27,434 | 36 | island |
| 374 | 00:36:27,518 | 00:36:30,979 | 36 | found |
| 375 | 00:36:32,481 | 00:36:35,317 | 36 | sunset |
| 375 | 00:36:32,481 | 00:36:35,317 | 36 | truman |
| 375 | 00:36:32,481 | 00:36:35,317 | 36 | perfect |
| 376 | 00:36:36,194 | 00:36:37,277 | 36 | yeah |
| 377 | 00:36:38,279 | 00:36:39,988 | 36 | guy |
| 378 | 00:36:40,865 | 00:36:43,909 | 36 | paintbrush |
| 378 | 00:36:40,865 | 00:36:43,909 | 36 | yep |
| 379 | 00:36:48,039 | 00:36:50,457 | 36 | marlon |
| 381 | 00:36:55,338 | 00:36:57,631 | 36 | yeah |
| 382 | 00:36:59,634 | 00:37:01,092 | 36 | angel |
| 383 | 00:37:07,558 | 00:37:09,142 | 37 | clown |
| 384 | 00:37:11,395 | 00:37:12,938 | 37 | carrot |
| 384 | 00:37:11,395 | 00:37:12,938 | 37 | top |
| 386 | 00:37:17,109 | 00:37:19,653 | 37 | home |
| 386 | 00:37:17,109 | 00:37:19,653 | 37 | mother |
| 387 | 00:37:19,737 | 00:37:23,198 | 37 | hold |
| 387 | 00:37:19,737 | 00:37:23,198 | 37 | minute |
| 387 | 00:37:19,737 | 00:37:23,198 | 37 | mt |
| 387 | 00:37:19,737 | 00:37:23,198 | 37 | rushmore |
| 388 | 00:37:23,282 | 00:37:25,575 | 37 | remember |
| 388 | 00:37:23,282 | 00:37:25,575 | 37 | truman |
| 388 | 00:37:23,282 | 00:37:25,575 | 37 | dad |
| 389 | 00:37:25,660 | 00:37:29,120 | 37 | drive |
| 389 | 00:37:25,660 | 00:37:29,120 | 37 | slept |
| 391 | 00:37:31,582 | 00:37:33,833 | 37 | darling |
| 392 | 00:37:33,918 | 00:37:35,377 | 37 | truman |
| 393 | 00:37:35,711 | 00:37:38,255 | 37 | happiest |
| 393 | 00:37:35,711 | 00:37:38,255 | 37 | day |
| 393 | 00:37:35,711 | 00:37:38,255 | 37 | lives |
| 394 | 00:37:40,925 | 00:37:43,093 | 37 | jean |
| 394 | 00:37:40,925 | 00:37:43,093 | 37 | jodie |
| 394 | 00:37:40,925 | 00:37:43,093 | 37 | joanne |
| 395 | 00:37:43,177 | 00:37:45,679 | 37 | beautiful |
| 395 | 00:37:43,177 | 00:37:45,679 | 37 | truman |
| 397 | 00:37:48,307 | 00:37:51,017 | 37 | lots |
| 397 | 00:37:48,307 | 00:37:51,017 | 37 | pages |
| 397 | 00:37:48,307 | 00:37:51,017 | 37 | left |
| 397 | 00:37:48,307 | 00:37:51,017 | 37 | baby |
| 397 | 00:37:48,307 | 00:37:51,017 | 37 | photos |
| 398 | 00:37:51,102 | 00:37:54,688 | 37 | hold |
| 398 | 00:37:51,102 | 00:37:54,688 | 37 | grandchild |
| 398 | 00:37:51,102 | 00:37:54,688 | 37 | arms |
| 399 | 00:37:55,523 | 00:37:57,440 | 37 | angela |
| 399 | 00:37:55,523 | 00:37:57,440 | 37 | home |
| 400 | 00:37:57,525 | 00:38:00,026 | 37 | stay |
| 400 | 00:37:57,525 | 00:38:00,026 | 37 | relax |
| 401 | 00:38:00,111 | 00:38:01,820 | 38 | enjoy |
| 401 | 00:38:00,111 | 00:38:01,820 | 38 | favorite |
| 401 | 00:38:00,111 | 00:38:01,820 | 38 | coming |
| 403 | 00:38:03,030 | 00:38:04,948 | 38 | discuss |
| 404 | 00:38:05,908 | 00:38:09,536 | 38 | person’s |
| 404 | 00:38:05,908 | 00:38:09,536 | 38 | birthday |
| 405 | 00:38:11,122 | 00:38:14,624 | 38 | there’ll |
| 405 | 00:38:11,122 | 00:38:14,624 | 38 | episode |
| 405 | 00:38:11,122 | 00:38:14,624 | 38 | love |
| 405 | 00:38:11,122 | 00:38:14,624 | 38 | lucy |
| 405 | 00:38:11,122 | 00:38:14,624 | 38 | time |
| 405 | 00:38:11,122 | 00:38:14,624 | 38 | tomorrow |
| 406 | 00:38:14,709 | 00:38:17,544 | 38 | time |
| 406 | 00:38:14,709 | 00:38:17,544 | 38 | golden |
| 406 | 00:38:14,709 | 00:38:17,544 | 38 | oldies |
| 407 | 00:38:17,628 | 00:38:20,297 | 38 | tonight |
| 407 | 00:38:17,628 | 00:38:20,297 | 38 | enduring |
| 407 | 00:38:17,628 | 00:38:20,297 | 38 | muchloved |
| 407 | 00:38:17,628 | 00:38:20,297 | 38 | classic |
| 408 | 00:38:20,381 | 00:38:22,465 | 38 | home |
| 409 | 00:38:22,550 | 00:38:24,759 | 38 | hymn |
| 409 | 00:38:22,550 | 00:38:24,759 | 38 | praise |
| 409 | 00:38:22,550 | 00:38:24,759 | 38 | smalltown |
| 409 | 00:38:22,550 | 00:38:24,759 | 38 | life |
| 410 | 00:38:24,844 | 00:38:27,137 | 38 | learn |
| 410 | 00:38:24,844 | 00:38:27,137 | 38 | leave |
| 410 | 00:38:24,844 | 00:38:27,137 | 38 | home |
| 411 | 00:38:27,221 | 00:38:31,850 | 38 | discover |
| 411 | 00:38:27,221 | 00:38:31,850 | 38 | world’s |
| 411 | 00:38:27,221 | 00:38:31,850 | 38 | poor |
| 411 | 00:38:27,221 | 00:38:31,850 | 38 | friends |
| 412 | 00:38:32,476 | 00:38:36,855 | 38 | laughter |
| 412 | 00:38:32,476 | 00:38:36,855 | 38 | love |
| 412 | 00:38:32,476 | 00:38:36,855 | 38 | pain |
| 412 | 00:38:32,476 | 00:38:36,855 | 38 | sadness |
| 412 | 00:38:32,476 | 00:38:36,855 | 38 | ultimateiy |
| 412 | 00:38:32,476 | 00:38:36,855 | 38 | redemption |
| 413 | 00:38:36,939 | 00:38:39,649 | 38 | share |
| 413 | 00:38:36,939 | 00:38:39,649 | 38 | trials |
| 413 | 00:38:36,939 | 00:38:39,649 | 38 | tribulations |
| 413 | 00:38:36,939 | 00:38:39,649 | 38 | abbott |
| 413 | 00:38:36,939 | 00:38:39,649 | 38 | family |
| 414 | 00:38:39,734 | 00:38:42,652 | 38 | note |
| 414 | 00:38:39,734 | 00:38:42,652 | 38 | touching |
| 414 | 00:38:39,734 | 00:38:42,652 | 38 | performance |
| 414 | 00:38:39,734 | 00:38:42,652 | 38 | ronald |
| 414 | 00:38:39,734 | 00:38:42,652 | 38 | brierly |
| 414 | 00:38:39,734 | 00:38:42,652 | 38 | uncle |
| 414 | 00:38:39,734 | 00:38:42,652 | 38 | bunny |
| 415 | 00:38:42,737 | 00:38:45,322 | 38 | scene |
| 415 | 00:38:42,737 | 00:38:45,322 | 38 | bowl |
| 415 | 00:38:42,737 | 00:38:45,322 | 38 | cherries |
| 416 | 00:38:45,406 | 00:38:48,325 | 38 | splitting |
| 416 | 00:38:45,406 | 00:38:48,325 | 38 | laughter |
| 417 | 00:38:48,409 | 00:38:52,370 | 38 | there’ll |
| 417 | 00:38:48,409 | 00:38:52,370 | 38 | tears |
| 417 | 00:38:48,409 | 00:38:52,370 | 38 | david |
| 417 | 00:38:48,409 | 00:38:52,370 | 38 | jennifer |
| 417 | 00:38:48,409 | 00:38:52,370 | 38 | reunited |
| 418 | 00:38:52,455 | 00:38:56,291 | 38 | join |
| 418 | 00:38:52,455 | 00:38:56,291 | 38 | abbotts |
| 418 | 00:38:52,455 | 00:38:56,291 | 38 | camden |
| 418 | 00:38:52,455 | 00:38:56,291 | 38 | village |
| 419 | 00:39:23,652 | 00:39:25,403 | 39 | sweetie |
| 420 | 00:39:29,283 | 00:39:32,619 | 39 | talk |
| 421 | 00:39:33,412 | 00:39:37,457 | 39 | sweetie |
| 421 | 00:39:33,412 | 00:39:37,457 | 39 | love |
| 421 | 00:39:33,412 | 00:39:37,457 | 39 | late |
| 421 | 00:39:33,412 | 00:39:37,457 | 39 | rush |
| 422 | 00:39:38,667 | 00:39:39,876 | 39 | surgery |
| 423 | 00:39:39,960 | 00:39:43,421 | 39 | elevator |
| 423 | 00:39:39,960 | 00:39:43,421 | 39 | disaster |
| 423 | 00:39:39,960 | 00:39:43,421 | 39 | downtown |
| 423 | 00:39:39,960 | 00:39:43,421 | 39 | news |
| 423 | 00:39:39,960 | 00:39:43,421 | 39 | night |
| 424 | 00:39:43,506 | 00:39:45,215 | 39 | cable |
| 424 | 00:39:43,506 | 00:39:45,215 | 39 | snapped |
| 425 | 00:39:45,299 | 00:39:47,842 | 39 | elevator |
| 425 | 00:39:45,299 | 00:39:47,842 | 39 | plummeted |
| 425 | 00:39:45,299 | 00:39:47,842 | 39 | 10 |
| 425 | 00:39:45,299 | 00:39:47,842 | 39 | flights |
| 426 | 00:39:47,927 | 00:39:50,387 | 39 | nonunion |
| 426 | 00:39:47,927 | 00:39:50,387 | 39 | workers |
| 426 | 00:39:47,927 | 00:39:50,387 | 39 | monsters |
| 427 | 00:39:50,471 | 00:39:53,098 | 39 | building |
| 427 | 00:39:50,471 | 00:39:53,098 | 39 | door |
| 428 | 00:39:53,182 | 00:39:55,183 | 39 | imagine |
| 429 | 00:39:55,267 | 00:39:56,810 | 39 | worth |
| 429 | 00:39:55,267 | 00:39:56,810 | 39 | thinking |
| 430 | 00:39:56,894 | 00:39:59,813 | 39 | amputation |
| 430 | 00:39:56,894 | 00:39:59,813 | 39 | women |
| 431 | 00:39:59,897 | 00:40:03,400 | 39 | elevator |
| 431 | 00:39:59,897 | 00:40:03,400 | 39 | sad |
| 432 | 00:40:03,484 | 00:40:06,945 | 40 | luck |
| 432 | 00:40:03,484 | 00:40:06,945 | 40 | cross |
| 432 | 00:40:03,484 | 00:40:06,945 | 40 | fingers |
| 433 | 00:40:49,238 | 00:40:52,407 | 40 | excuse |
| 433 | 00:40:49,238 | 00:40:52,407 | 40 | excuse |
| 434 | 00:40:54,076 | 00:40:58,204 | 40 | wife |
| 434 | 00:40:54,076 | 00:40:58,204 | 40 | nurse |
| 434 | 00:40:54,076 | 00:40:58,204 | 40 | burbank |
| 435 | 00:40:58,289 | 00:41:01,666 | 40 | afraid |
| 435 | 00:40:58,289 | 00:41:01,666 | 40 | preop |
| 436 | 00:41:02,460 | 00:41:05,044 | 41 | fine |
| 437 | 00:41:05,463 | 00:41:08,131 | 41 | pass |
| 437 | 00:41:05,463 | 00:41:08,131 | 41 | message |
| 438 | 00:41:08,215 | 00:41:11,968 | 41 | fiji |
| 438 | 00:41:08,215 | 00:41:11,968 | 41 | call |
| 439 | 00:41:12,052 | 00:41:15,722 | 41 | fiji |
| 440 | 00:41:15,806 | 00:41:19,267 | 41 | fine |
| 445 | 00:42:01,602 | 00:42:02,852 | 42 | scalpel |
| 446 | 00:42:09,527 | 00:42:13,196 | 42 | primary |
| 446 | 00:42:09,527 | 00:42:13,196 | 42 | incision |
| 447 | 00:42:13,822 | 00:42:16,866 | 42 | knee |
| 448 | 00:42:19,870 | 00:42:20,870 | 42 | hold |
| 449 | 00:42:21,956 | 00:42:23,331 | 42 | nicely |
| 450 | 00:42:23,874 | 00:42:26,709 | 42 | pretty |
| 450 | 00:42:23,874 | 00:42:26,709 | 42 | family |
| 451 | 00:42:26,794 | 00:42:29,295 | 42 | beautiful |
| 451 | 00:42:26,794 | 00:42:29,295 | 42 | beautiful |
| 451 | 00:42:26,794 | 00:42:29,295 | 42 | job |
| 452 | 00:42:31,215 | 00:42:33,800 | 42 | tidy |
| 454 | 00:43:02,871 | 00:43:06,666 | 43 | book |
| 454 | 00:43:02,871 | 00:43:06,666 | 43 | flight |
| 454 | 00:43:02,871 | 00:43:06,666 | 43 | fiji |
| 455 | 00:43:08,836 | 00:43:11,045 | 43 | leave |
| 457 | 00:43:30,941 | 00:43:34,569 | 43 | month |
| 458 | 00:43:35,029 | 00:43:37,530 | 43 | month |
| 458 | 00:43:35,029 | 00:43:37,530 | 43 | busy |
| 458 | 00:43:35,029 | 00:43:37,530 | 43 | season |
| 459 | 00:43:39,825 | 00:43:41,951 | 43 | book |
| 459 | 00:43:39,825 | 00:43:41,951 | 43 | flight |
| 460 | 00:43:42,786 | 00:43:46,497 | 43 | matter |
| 460 | 00:43:42,786 | 00:43:46,497 | 43 | arrangements |
| 461 | 00:43:49,710 | 00:43:52,629 | 43 | call |
| 461 | 00:43:49,710 | 00:43:52,629 | 43 | chicago |
| 462 | 00:43:52,963 | 00:43:55,381 | 43 | aboard |
| 464 | 00:44:04,725 | 00:44:06,726 | 44 | windy |
| 464 | 00:44:04,725 | 00:44:06,726 | 44 | city |
| 467 | 00:44:17,404 | 00:44:18,446 | 44 | sisters |
| 468 | 00:44:18,530 | 00:44:22,241 | 44 | mom |
| 468 | 00:44:18,530 | 00:44:22,241 | 44 | front |
| 470 | 00:45:11,750 | 00:45:13,292 | 45 | son |
| 471 | 00:45:27,141 | 00:45:29,851 | 45 | father |
| 471 | 00:45:27,141 | 00:45:29,851 | 45 | chicago |
| 472 | 00:45:30,102 | 00:45:33,813 | 45 | dentist |
| 472 | 00:45:30,102 | 00:45:33,813 | 45 | pensacola |
| 472 | 00:45:30,102 | 00:45:33,813 | 45 | father |
| 472 | 00:45:30,102 | 00:45:33,813 | 45 | des |
| 472 | 00:45:30,102 | 00:45:33,813 | 45 | moines |
| 473 | 00:45:33,897 | 00:45:35,982 | 45 | chicago |
| 474 | 00:45:36,066 | 00:45:38,693 | 45 | chicago |
| 475 | 00:45:38,777 | 00:45:40,862 | 45 | meryl |
| 476 | 00:45:56,837 | 00:45:58,004 | 45 | truman |
| 477 | 00:46:03,302 | 00:46:06,512 | 46 | honey |
| 478 | 00:46:10,184 | 00:46:11,392 | 46 | truman |
| 481 | 00:46:19,735 | 00:46:22,361 | 46 | predict |
| 481 | 00:46:19,735 | 00:46:22,361 | 46 | moment |
| 482 | 00:46:24,031 | 00:46:28,201 | 46 | lady |
| 482 | 00:46:24,031 | 00:46:28,201 | 46 | red |
| 482 | 00:46:24,031 | 00:46:28,201 | 46 | bike |
| 482 | 00:46:24,031 | 00:46:28,201 | 46 | flowers |
| 483 | 00:46:29,161 | 00:46:32,205 | 46 | volkswagen |
| 483 | 00:46:29,161 | 00:46:32,205 | 46 | beetle |
| 483 | 00:46:29,161 | 00:46:32,205 | 46 | dented |
| 483 | 00:46:29,161 | 00:46:32,205 | 46 | fender |
| 484 | 00:46:32,539 | 00:46:34,624 | 46 | truman |
| 485 | 00:46:40,422 | 00:46:41,631 | 46 | lady |
| 486 | 00:46:43,133 | 00:46:44,467 | 46 | flowers |
| 488 | 00:46:50,224 | 00:46:53,142 | 46 | truman |
| 488 | 00:46:50,224 | 00:46:53,142 | 46 | silly |
| 489 | 00:46:53,227 | 00:46:55,561 | 46 | dented |
| 489 | 00:46:53,227 | 00:46:55,561 | 46 | beetle |
| 491 | 00:47:05,656 | 00:47:08,074 | 47 | loop |
| 491 | 00:47:05,656 | 00:47:08,074 | 47 | block |
| 492 | 00:47:08,158 | 00:47:11,994 | 47 | round |
| 492 | 00:47:08,158 | 00:47:11,994 | 47 | round |
| 493 | 00:47:12,079 | 00:47:13,454 | 47 | round |
| 493 | 00:47:12,079 | 00:47:13,454 | 47 | round |
| 494 | 00:47:13,539 | 00:47:15,873 | 47 | invited |
| 494 | 00:47:13,539 | 00:47:15,873 | 47 | rita |
| 494 | 00:47:13,539 | 00:47:15,873 | 47 | marlon |
| 494 | 00:47:13,539 | 00:47:15,873 | 47 | barbecue |
| 494 | 00:47:13,539 | 00:47:15,873 | 47 | sunday |
| 495 | 00:47:15,958 | 00:47:18,417 | 47 | gonna |
| 495 | 00:47:15,958 | 00:47:18,417 | 47 | potato |
| 495 | 00:47:15,958 | 00:47:18,417 | 47 | salad |
| 495 | 00:47:15,958 | 00:47:18,417 | 47 | sunday |
| 496 | 00:47:18,502 | 00:47:20,461 | 47 | remind |
| 496 | 00:47:18,502 | 00:47:20,461 | 47 | charcoal |
| 497 | 00:47:20,546 | 00:47:23,422 | 47 | listening |
| 497 | 00:47:20,546 | 00:47:23,422 | 47 | word |
| 498 | 00:47:25,425 | 00:47:28,928 | 47 | upset |
| 498 | 00:47:25,425 | 00:47:28,928 | 47 | fiji |
| 500 | 00:47:35,060 | 00:47:38,771 | 47 | save |
| 500 | 00:47:35,060 | 00:47:38,771 | 47 | months |
| 501 | 00:47:39,565 | 00:47:41,607 | 47 | happy |
| 502 | 00:47:42,442 | 00:47:43,776 | 47 | shower |
| 504 | 00:47:48,282 | 00:47:50,992 | 47 | ready |
| 504 | 00:47:48,282 | 00:47:50,992 | 47 | wait |
| 504 | 00:47:48,282 | 00:47:50,992 | 47 | bird |
| 504 | 00:47:48,282 | 00:47:50,992 | 47 | gathers |
| 504 | 00:47:48,282 | 00:47:50,992 | 47 | moss |
| 505 | 00:47:51,076 | 00:47:53,703 | 47 | rolling |
| 505 | 00:47:51,076 | 00:47:53,703 | 47 | stone |
| 505 | 00:47:51,076 | 00:47:53,703 | 47 | catches |
| 505 | 00:47:51,076 | 00:47:53,703 | 47 | worm |
| 506 | 00:47:55,539 | 00:47:57,874 | 47 | truman |
| 507 | 00:48:02,004 | 00:48:03,212 | 48 | truman |
| 509 | 00:48:08,510 | 00:48:10,720 | 48 | truman |
| 510 | 00:48:10,804 | 00:48:13,055 | 48 | guess |
| 510 | 00:48:10,804 | 00:48:13,055 | 48 | spontaneous |
| 511 | 00:48:13,640 | 00:48:17,018 | 48 | spontaneous |
| 512 | 00:48:18,020 | 00:48:19,562 | 48 | forget |
| 512 | 00:48:18,020 | 00:48:19,562 | 48 | fiji |
| 513 | 00:48:19,646 | 00:48:22,565 | 48 | drive |
| 513 | 00:48:19,646 | 00:48:22,565 | 48 | fiji |
| 514 | 00:48:24,610 | 00:48:28,863 | 48 | atlantic |
| 514 | 00:48:24,610 | 00:48:28,863 | 48 | city |
| 514 | 00:48:24,610 | 00:48:28,863 | 48 | hate |
| 514 | 00:48:24,610 | 00:48:28,863 | 48 | gamble |
| 516 | 00:48:32,034 | 00:48:36,245 | 48 | people |
| 517 | 00:48:36,997 | 00:48:40,833 | 48 | truman |
| 517 | 00:48:36,997 | 00:48:40,833 | 48 | throw |
| 518 | 00:48:49,259 | 00:48:51,636 | 48 | blocked |
| 519 | 00:48:52,804 | 00:48:54,639 | 48 | beautifully |
| 519 | 00:48:52,804 | 00:48:54,639 | 48 | synchronized |
| 519 | 00:48:52,804 | 00:48:54,639 | 48 | agree |
| 520 | 00:48:54,723 | 00:48:57,725 | 48 | blaming |
| 520 | 00:48:54,723 | 00:48:57,725 | 48 | traffic |
| 521 | 00:49:04,691 | 00:49:08,110 | 49 | truman |
| 521 | 00:49:04,691 | 00:49:08,110 | 49 | home |
| 522 | 00:49:09,029 | 00:49:12,239 | 49 | stuck |
| 522 | 00:49:09,029 | 00:49:12,239 | 49 | hours |
| 523 | 00:49:12,324 | 00:49:14,659 | 49 | atlantic |
| 523 | 00:49:12,324 | 00:49:14,659 | 49 | city |
| 526 | 00:49:24,002 | 00:49:26,003 | 49 | slow |
| 528 | 00:49:30,133 | 00:49:33,594 | 49 | truman |
| 528 | 00:49:30,133 | 00:49:33,594 | 49 | turnoff |
| 528 | 00:49:30,133 | 00:49:33,594 | 49 | changed |
| 528 | 00:49:30,133 | 00:49:33,594 | 49 | mind |
| 529 | 00:49:33,679 | 00:49:37,098 | 49 | orleans |
| 529 | 00:49:33,679 | 00:49:37,098 | 49 | time |
| 529 | 00:49:33,679 | 00:49:37,098 | 49 | mardi |
| 529 | 00:49:33,679 | 00:49:37,098 | 49 | gras |
| 530 | 00:49:43,563 | 00:49:47,358 | 49 | meryl |
| 530 | 00:49:43,563 | 00:49:47,358 | 49 | road |
| 530 | 00:49:43,563 | 00:49:47,358 | 49 | cars |
| 531 | 00:49:47,484 | 00:49:48,859 | 49 | magic |
| 532 | 00:49:49,361 | 00:49:52,488 | 49 | head |
| 533 | 00:49:52,572 | 00:49:54,865 | 49 | destroy |
| 534 | 00:49:54,950 | 00:49:57,076 | 49 | company |
| 535 | 00:50:03,583 | 00:50:07,837 | 50 | truman |
| 535 | 00:50:03,583 | 00:50:07,837 | 50 | happen |
| 536 | 00:50:09,089 | 00:50:11,966 | 50 | drive |
| 536 | 00:50:09,089 | 00:50:11,966 | 50 | water |
| 537 | 00:50:12,259 | 00:50:14,885 | 50 | home |
| 537 | 00:50:12,259 | 00:50:14,885 | 50 | feel |
| 537 | 00:50:12,259 | 00:50:14,885 | 50 | safe |
| 538 | 00:50:17,514 | 00:50:19,598 | 50 | hand |
| 538 | 00:50:17,514 | 00:50:19,598 | 50 | sweetie |
| 539 | 00:50:20,475 | 00:50:21,642 | 50 | drive |
| 540 | 00:50:22,227 | 00:50:23,436 | 50 | truman |
| 541 | 00:50:23,937 | 00:50:26,939 | 50 | truman |
| 541 | 00:50:23,937 | 00:50:26,939 | 50 | breaking |
| 541 | 00:50:23,937 | 00:50:26,939 | 50 | law |
| 544 | 00:50:31,236 | 00:50:32,486 | 50 | truman |
| 546 | 00:50:34,614 | 00:50:37,950 | 50 | bridge |
| 547 | 00:50:38,535 | 00:50:40,578 | 50 | bridge |
| 548 | 00:50:46,460 | 00:50:48,210 | 50 | truman |
| 548 | 00:50:46,460 | 00:50:48,210 | 50 | sign |
| 549 | 00:50:48,295 | 00:50:50,963 | 50 | exaggerating |
| 549 | 00:50:48,295 | 00:50:50,963 | 50 | fine |
| 550 | 00:50:52,549 | 00:50:54,967 | 50 | exaggerating |
| 551 | 00:50:55,052 | 00:50:57,011 | 50 | truman |
| 552 | 00:50:57,137 | 00:50:59,722 | 50 | truman |
| 552 | 00:50:57,137 | 00:50:59,722 | 50 | fire |
| 553 | 00:50:59,806 | 00:51:01,223 | 50 | fire |
| 554 | 00:51:01,308 | 00:51:03,225 | 51 | smoke |
| 557 | 00:51:08,482 | 00:51:11,317 | 51 | truman |
| 557 | 00:51:08,482 | 00:51:11,317 | 51 | stop |
| 557 | 00:51:08,482 | 00:51:11,317 | 51 | god |
| 558 | 00:51:13,320 | 00:51:17,323 | 51 | money |
| 558 | 00:51:13,320 | 00:51:17,323 | 51 | orleans |
| 559 | 00:51:18,158 | 00:51:20,367 | 51 | seahaven |
| 559 | 00:51:18,158 | 00:51:20,367 | 51 | bank |
| 559 | 00:51:18,158 | 00:51:20,367 | 51 | card |
| 560 | 00:51:21,078 | 00:51:24,789 | 51 | gonna |
| 560 | 00:51:21,078 | 00:51:24,789 | 51 | eat |
| 560 | 00:51:21,078 | 00:51:24,789 | 51 | savings |
| 561 | 00:51:25,332 | 00:51:27,917 | 51 | call |
| 561 | 00:51:25,332 | 00:51:27,917 | 51 | mother |
| 562 | 00:51:28,001 | 00:51:32,505 | 51 | worried |
| 562 | 00:51:28,001 | 00:51:32,505 | 51 | sick |
| 564 | 00:51:47,270 | 00:51:48,938 | 51 | red |
| 564 | 00:51:47,270 | 00:51:48,938 | 51 | alert |
| 565 | 00:51:51,858 | 00:51:54,235 | 51 | truman |
| 565 | 00:51:51,858 | 00:51:54,235 | 51 | leak |
| 565 | 00:51:51,858 | 00:51:54,235 | 51 | plant |
| 566 | 00:51:54,319 | 00:51:56,445 | 51 | leak |
| 566 | 00:51:54,319 | 00:51:56,445 | 51 | plant |
| 567 | 00:51:56,530 | 00:51:58,948 | 51 | shut |
| 568 | 00:51:59,032 | 00:52:01,742 | 51 | area’s |
| 568 | 00:51:59,032 | 00:52:01,742 | 51 | evacuated |
| 569 | 00:52:01,827 | 00:52:03,786 | 52 | ma’am |
| 570 | 00:52:03,870 | 00:52:05,538 | 52 | truman |
| 571 | 00:52:06,957 | 00:52:08,332 | 52 | truman |
| 572 | 00:52:10,877 | 00:52:12,711 | 52 | truman |
| 573 | 00:52:13,130 | 00:52:14,797 | 52 | truman |
| 574 | 00:52:17,300 | 00:52:18,717 | 52 | stop |
| 575 | 00:52:20,053 | 00:52:21,387 | 52 | truman |
| 576 | 00:52:22,180 | 00:52:23,556 | 52 | catch |
| 576 | 00:52:22,180 | 00:52:23,556 | 52 | left |
| 577 | 00:52:40,073 | 00:52:41,448 | 52 | stay |
| 579 | 00:52:51,793 | 00:52:53,419 | 52 | custody |
| 581 | 00:53:00,927 | 00:53:04,597 | 53 | lucky |
| 581 | 00:53:00,927 | 00:53:04,597 | 53 | alive |
| 581 | 00:53:00,927 | 00:53:04,597 | 53 | ma’am |
| 581 | 00:53:00,927 | 00:53:04,597 | 53 | time |
| 581 | 00:53:00,927 | 00:53:04,597 | 53 | file |
| 581 | 00:53:00,927 | 00:53:04,597 | 53 | charges |
| 582 | 00:53:04,681 | 00:53:06,140 | 53 | understand |
| 583 | 00:53:06,433 | 00:53:08,601 | 53 | night |
| 584 | 00:53:26,453 | 00:53:29,038 | 53 | truman |
| 586 | 00:53:33,835 | 00:53:36,545 | 53 | baby |
| 587 | 00:53:37,631 | 00:53:39,381 | 53 | stand |
| 588 | 00:53:39,799 | 00:53:41,425 | 53 | true |
| 589 | 00:53:46,097 | 00:53:48,807 | 53 | fix |
| 589 | 00:53:46,097 | 00:53:48,807 | 53 | mococoa |
| 589 | 00:53:46,097 | 00:53:48,807 | 53 | drink |
| 590 | 00:53:48,892 | 00:53:52,144 | 53 | natural |
| 590 | 00:53:48,892 | 00:53:52,144 | 53 | cocoa |
| 590 | 00:53:48,892 | 00:53:52,144 | 53 | beans |
| 590 | 00:53:48,892 | 00:53:52,144 | 53 | upper |
| 590 | 00:53:48,892 | 00:53:52,144 | 53 | slopes |
| 590 | 00:53:48,892 | 00:53:52,144 | 53 | mt |
| 590 | 00:53:48,892 | 00:53:52,144 | 53 | nicaragua |
| 591 | 00:53:52,229 | 00:53:53,979 | 53 | artificial |
| 591 | 00:53:52,229 | 00:53:53,979 | 53 | sweeteners |
| 592 | 00:53:54,064 | 00:53:56,607 | 53 | hell |
| 592 | 00:53:54,064 | 00:53:56,607 | 53 | talking |
| 593 | 00:53:57,150 | 00:53:58,984 | 53 | talking |
| 594 | 00:53:59,069 | 00:54:02,154 | 53 | tasted |
| 594 | 00:53:59,069 | 00:54:02,154 | 53 | cocoas |
| 595 | 00:54:02,280 | 00:54:05,991 | 54 | hell |
| 596 | 00:54:06,785 | 00:54:08,786 | 54 | happening |
| 597 | 00:54:08,954 | 00:54:12,414 | 54 | nervous |
| 597 | 00:54:08,954 | 00:54:12,414 | 54 | breakdown |
| 597 | 00:54:08,954 | 00:54:12,414 | 54 | happening |
| 599 | 00:54:16,920 | 00:54:18,879 | 54 | truman |
| 599 | 00:54:16,920 | 00:54:18,879 | 54 | meryl |
| 600 | 00:54:19,506 | 00:54:21,966 | 54 | scaring |
| 601 | 00:54:22,050 | 00:54:24,677 | 54 | scaring |
| 601 | 00:54:22,050 | 00:54:24,677 | 54 | meryl |
| 602 | 00:54:25,053 | 00:54:28,889 | 54 | dice |
| 602 | 00:54:25,053 | 00:54:28,889 | 54 | slice |
| 602 | 00:54:25,053 | 00:54:28,889 | 54 | peel |
| 603 | 00:54:28,974 | 00:54:31,392 | 54 | choices |
| 607 | 00:54:39,192 | 00:54:42,319 | 54 | talking |
| 609 | 00:54:44,155 | 00:54:47,449 | 54 | talking |
| 610 | 00:54:47,534 | 00:54:50,911 | 54 | talk |
| 610 | 00:54:47,534 | 00:54:50,911 | 54 | stop |
| 611 | 00:54:50,996 | 00:54:52,579 | 54 | stay |
| 612 | 00:54:53,748 | 00:54:55,249 | 54 | truman |
| 613 | 00:54:56,668 | 00:54:57,960 | 54 | truman |
| 614 | 00:54:58,586 | 00:55:02,256 | 54 | god |
| 615 | 00:55:05,385 | 00:55:10,180 | 55 | expect |
| 615 | 00:55:05,385 | 00:55:10,180 | 55 | carry |
| 615 | 00:55:05,385 | 00:55:10,180 | 55 | conditions |
| 616 | 00:55:10,473 | 00:55:12,474 | 55 | unprofessional |
| 618 | 00:55:17,605 | 00:55:21,859 | 55 | everything’s |
| 618 | 00:55:17,605 | 00:55:21,859 | 55 | gonna |
| 618 | 00:55:17,605 | 00:55:21,859 | 55 | fine |
| 619 | 00:55:25,405 | 00:55:27,573 | 55 | marlon |
| 620 | 00:55:31,703 | 00:55:33,912 | 55 | losing |
| 620 | 00:55:31,703 | 00:55:33,912 | 55 | mind |
| 621 | 00:55:38,251 | 00:55:41,587 | 55 | feels |
| 621 | 00:55:38,251 | 00:55:41,587 | 55 | world |
| 621 | 00:55:38,251 | 00:55:41,587 | 55 | revolves |
| 622 | 00:55:44,007 | 00:55:46,675 | 55 | lot |
| 622 | 00:55:44,007 | 00:55:46,675 | 55 | world |
| 622 | 00:55:44,007 | 00:55:46,675 | 55 | truman |
| 623 | 00:55:48,845 | 00:55:50,929 | 55 | wishful |
| 623 | 00:55:48,845 | 00:55:50,929 | 55 | thinking |
| 624 | 00:55:51,348 | 00:55:54,391 | 55 | wishing |
| 625 | 00:55:55,268 | 00:55:57,436 | 55 | sat |
| 625 | 00:55:55,268 | 00:55:57,436 | 55 | john |
| 626 | 00:55:57,520 | 00:56:00,230 | 55 | imaginary |
| 626 | 00:55:57,520 | 00:56:00,230 | 55 | interview |
| 626 | 00:55:57,520 | 00:56:00,230 | 55 | seahaven |
| 626 | 00:55:57,520 | 00:56:00,230 | 55 | tonight |
| 629 | 00:56:09,991 | 00:56:13,452 | 56 | friend |
| 629 | 00:56:09,991 | 00:56:13,452 | 56 | 7 |
| 629 | 00:56:09,991 | 00:56:13,452 | 56 | truman |
| 630 | 00:56:13,787 | 00:56:15,746 | 56 | school |
| 631 | 00:56:15,830 | 00:56:18,457 | 56 | cheating |
| 631 | 00:56:15,830 | 00:56:18,457 | 56 | other’s |
| 631 | 00:56:15,830 | 00:56:18,457 | 56 | test |
| 631 | 00:56:15,830 | 00:56:18,457 | 56 | papers |
| 632 | 00:56:19,501 | 00:56:21,377 | 56 | jesus |
| 632 | 00:56:19,501 | 00:56:21,377 | 56 | identical |
| 633 | 00:56:23,671 | 00:56:25,881 | 56 | safe |
| 633 | 00:56:23,671 | 00:56:25,881 | 56 | knowing |
| 634 | 00:56:26,883 | 00:56:29,927 | 56 | answer |
| 635 | 00:56:30,178 | 00:56:31,970 | 56 | wrong |
| 636 | 00:56:33,640 | 00:56:36,683 | 56 | remember |
| 636 | 00:56:33,640 | 00:56:36,683 | 56 | time |
| 636 | 00:56:33,640 | 00:56:36,683 | 56 | stayed |
| 636 | 00:56:33,640 | 00:56:36,683 | 56 | night |
| 636 | 00:56:33,640 | 00:56:36,683 | 56 | tent |
| 637 | 00:56:36,768 | 00:56:39,061 | 56 | play |
| 637 | 00:56:36,768 | 00:56:39,061 | 56 | north |
| 637 | 00:56:36,768 | 00:56:39,061 | 56 | pole |
| 638 | 00:56:39,729 | 00:56:41,230 | 56 | pneumonia |
| 639 | 00:56:43,274 | 00:56:44,650 | 56 | remember |
| 640 | 00:56:45,527 | 00:56:47,986 | 56 | school |
| 640 | 00:56:45,527 | 00:56:47,986 | 56 | month |
| 641 | 00:56:54,369 | 00:56:57,162 | 56 | closest |
| 641 | 00:56:54,369 | 00:56:57,162 | 56 | brother |
| 641 | 00:56:54,369 | 00:56:57,162 | 56 | truman |
| 643 | 00:57:06,464 | 00:57:10,551 | 57 | dream |
| 644 | 00:57:11,511 | 00:57:15,347 | 57 | feeling |
| 644 | 00:57:11,511 | 00:57:15,347 | 57 | everything’s |
| 644 | 00:57:11,511 | 00:57:15,347 | 57 | slipping |
| 646 | 00:57:19,352 | 00:57:22,062 | 57 | answers |
| 648 | 00:57:30,780 | 00:57:33,407 | 57 | gladly |
| 648 | 00:57:30,780 | 00:57:33,407 | 57 | walk |
| 648 | 00:57:30,780 | 00:57:33,407 | 57 | front |
| 648 | 00:57:30,780 | 00:57:33,407 | 57 | traffic |
| 649 | 00:57:39,456 | 00:57:43,250 | 57 | gladly |
| 649 | 00:57:39,456 | 00:57:43,250 | 57 | step |
| 649 | 00:57:39,456 | 00:57:43,250 | 57 | front |
| 649 | 00:57:39,456 | 00:57:43,250 | 57 | traffic |
| 649 | 00:57:39,456 | 00:57:43,250 | 57 | truman |
| 650 | 00:57:44,419 | 00:57:47,671 | 57 | lie |
| 652 | 00:57:55,555 | 00:57:56,805 | 57 | lie |
| 653 | 00:58:00,059 | 00:58:02,060 | 58 | truman |
| 656 | 00:58:18,077 | 00:58:20,245 | 58 | truman |
| 660 | 00:58:33,301 | 00:58:35,344 | 58 | started |
| 661 | 00:58:50,777 | 00:58:53,570 | 58 | yep |
| 661 | 00:58:50,777 | 00:58:53,570 | 58 | found |
| 661 | 00:58:50,777 | 00:58:53,570 | 58 | truman |
| 662 | 00:58:53,947 | 00:58:55,864 | 58 | tonight |
| 663 | 00:58:56,741 | 00:58:59,117 | 58 | story |
| 665 | 00:59:10,922 | 00:59:12,464 | 59 | easy |
| 665 | 00:59:10,922 | 00:59:12,464 | 59 | fog |
| 666 | 00:59:14,300 | 00:59:16,176 | 59 | stand |
| 666 | 00:59:14,300 | 00:59:16,176 | 59 | crane |
| 666 | 00:59:14,300 | 00:59:16,176 | 59 | cam |
| 667 | 00:59:17,637 | 00:59:19,012 | 59 | crane |
| 667 | 00:59:17,637 | 00:59:19,012 | 59 | cam |
| 668 | 00:59:26,980 | 00:59:28,355 | 59 | button |
| 668 | 00:59:26,980 | 00:59:28,355 | 59 | cam |
| 668 | 00:59:26,980 | 00:59:28,355 | 59 | 3 |
| 669 | 00:59:40,868 | 00:59:42,953 | 59 | stopped |
| 669 | 00:59:40,868 | 00:59:42,953 | 59 | believing |
| 670 | 00:59:46,082 | 00:59:49,042 | 59 | wide |
| 670 | 00:59:46,082 | 00:59:49,042 | 59 | curb |
| 670 | 00:59:46,082 | 00:59:49,042 | 59 | cam |
| 670 | 00:59:46,082 | 00:59:49,042 | 59 | 8 |
| 671 | 00:59:49,669 | 00:59:50,877 | 59 | son |
| 672 | 00:59:52,672 | 00:59:54,673 | 59 | move |
| 672 | 00:59:52,672 | 00:59:54,673 | 59 | closeup |
| 673 | 00:59:56,676 | 00:59:58,093 | 59 | move |
| 674 | 00:59:59,262 | 01:00:00,721 | 59 | fade |
| 674 | 00:59:59,262 | 01:00:00,721 | 59 | music |
| 675 | 01:00:06,519 | 01:00:08,145 | 60 | close |
| 676 | 01:00:09,397 | 01:00:11,315 | 60 | aii |
| 676 | 01:00:09,397 | 01:00:11,315 | 60 | wasted |
| 677 | 01:00:13,568 | 01:00:16,862 | 60 | i’ii |
| 677 | 01:00:13,568 | 01:00:16,862 | 60 | son |
| 677 | 01:00:13,568 | 01:00:16,862 | 60 | swear |
| 678 | 01:00:23,119 | 01:00:24,202 | 60 | dad |
| 680 | 01:00:36,507 | 01:00:37,674 | 60 | bravo |
| 681 | 01:00:38,092 | 01:00:40,260 | 60 | win |
| 681 | 01:00:38,092 | 01:00:40,260 | 60 | ratings |
| 681 | 01:00:38,092 | 01:00:40,260 | 60 | period |
| 682 | 01:00:40,970 | 01:00:42,054 | 60 | congratulations |
| 683 | 01:00:42,138 | 01:00:44,222 | 60 | quiet |
| 683 | 01:00:42,138 | 01:00:44,222 | 60 | concentrate |
| 684 | 01:00:44,307 | 01:00:46,099 | 60 | television |
| 685 | 01:00:46,851 | 01:00:48,977 | 60 | champagne |
| 686 | 01:00:49,062 | 01:00:50,520 | 60 | congratulations |
| 687 | 01:00:51,814 | 01:00:55,525 | 60 | christof |
| 687 | 01:00:51,814 | 01:00:55,525 | 60 | brilliant |
| 687 | 01:00:51,814 | 01:00:55,525 | 60 | broke |
| 687 | 01:00:51,814 | 01:00:55,525 | 60 | heart |
| 688 | 01:00:59,238 | 01:01:00,864 | 60 | bravo |
| 689 | 01:01:00,948 | 01:01:02,240 | 61 | congratulations |
| 690 | 01:01:20,343 | 01:01:23,595 | 61 | 1.7 |
| 690 | 01:01:20,343 | 01:01:23,595 | 61 | billion |
| 690 | 01:01:20,343 | 01:01:23,595 | 61 | birth |
| 691 | 01:01:27,558 | 01:01:31,019 | 61 | 220 |
| 691 | 01:01:27,558 | 01:01:31,019 | 61 | countries |
| 691 | 01:01:27,558 | 01:01:31,019 | 61 | tuned |
| 691 | 01:01:27,558 | 01:01:31,019 | 61 | step |
| 692 | 01:01:31,104 | 01:01:34,481 | 61 | worid |
| 692 | 01:01:31,104 | 01:01:34,481 | 61 | stood |
| 692 | 01:01:31,104 | 01:01:34,481 | 61 | stolen |
| 692 | 01:01:31,104 | 01:01:34,481 | 61 | kiss |
| 693 | 01:01:34,857 | 01:01:37,109 | 61 | grew |
| 693 | 01:01:34,857 | 01:01:37,109 | 61 | technology |
| 694 | 01:01:37,193 | 01:01:39,277 | 61 | entire |
| 694 | 01:01:37,193 | 01:01:39,277 | 61 | human |
| 694 | 01:01:37,193 | 01:01:39,277 | 61 | life |
| 695 | 01:01:39,404 | 01:01:42,364 | 61 | recorded |
| 695 | 01:01:39,404 | 01:01:42,364 | 61 | intricate |
| 695 | 01:01:39,404 | 01:01:42,364 | 61 | network |
| 695 | 01:01:39,404 | 01:01:42,364 | 61 | hidden |
| 695 | 01:01:39,404 | 01:01:42,364 | 61 | cameras |
| 696 | 01:01:42,448 | 01:01:46,284 | 61 | broadcast |
| 696 | 01:01:42,448 | 01:01:46,284 | 61 | iive |
| 696 | 01:01:42,448 | 01:01:46,284 | 61 | unedited |
| 696 | 01:01:42,448 | 01:01:46,284 | 61 | 24 |
| 696 | 01:01:42,448 | 01:01:46,284 | 61 | hours |
| 696 | 01:01:42,448 | 01:01:46,284 | 61 | day |
| 697 | 01:01:46,369 | 01:01:49,454 | 61 | days |
| 697 | 01:01:46,369 | 01:01:49,454 | 61 | week |
| 697 | 01:01:46,369 | 01:01:49,454 | 61 | audience |
| 697 | 01:01:46,369 | 01:01:49,454 | 61 | globe |
| 698 | 01:01:50,289 | 01:01:53,125 | 61 | coming |
| 698 | 01:01:50,289 | 01:01:53,125 | 61 | seahaven |
| 698 | 01:01:50,289 | 01:01:53,125 | 61 | island |
| 699 | 01:01:53,334 | 01:01:56,586 | 61 | enclosed |
| 699 | 01:01:53,334 | 01:01:56,586 | 61 | largest |
| 699 | 01:01:53,334 | 01:01:56,586 | 61 | studio |
| 699 | 01:01:53,334 | 01:01:56,586 | 61 | constructed |
| 700 | 01:01:56,671 | 01:01:58,922 | 61 | wall |
| 700 | 01:01:56,671 | 01:01:58,922 | 61 | china |
| 701 | 01:01:59,006 | 01:02:02,300 | 61 | manmade |
| 701 | 01:01:59,006 | 01:02:02,300 | 61 | structures |
| 701 | 01:01:59,006 | 01:02:02,300 | 61 | visible |
| 701 | 01:01:59,006 | 01:02:02,300 | 61 | space |
| 702 | 01:02:03,010 | 01:02:06,221 | 62 | 30th |
| 703 | 01:02:06,305 | 01:02:08,223 | 62 | truman |
| 704 | 01:02:12,979 | 01:02:14,855 | 62 | week |
| 705 | 01:02:14,939 | 01:02:16,898 | 62 | pins |
| 705 | 01:02:14,939 | 01:02:16,898 | 62 | needles |
| 705 | 01:02:14,939 | 01:02:16,898 | 62 | entire |
| 705 | 01:02:14,939 | 01:02:16,898 | 62 | time |
| 706 | 01:02:17,400 | 01:02:20,152 | 62 | evening |
| 706 | 01:02:17,400 | 01:02:20,152 | 62 | host |
| 706 | 01:02:17,400 | 01:02:20,152 | 62 | mike |
| 706 | 01:02:17,400 | 01:02:20,152 | 62 | michaelson |
| 707 | 01:02:20,236 | 01:02:21,611 | 62 | trutalk |
| 708 | 01:02:21,696 | 01:02:24,197 | 62 | forum |
| 708 | 01:02:21,696 | 01:02:24,197 | 62 | issues |
| 708 | 01:02:21,696 | 01:02:24,197 | 62 | growing |
| 709 | 01:02:24,282 | 01:02:26,867 | 62 | tonight |
| 709 | 01:02:24,282 | 01:02:26,867 | 62 | special |
| 710 | 01:02:26,993 | 01:02:31,246 | 62 | rare |
| 710 | 01:02:26,993 | 01:02:31,246 | 62 | exclusive |
| 710 | 01:02:26,993 | 01:02:31,246 | 62 | interview |
| 710 | 01:02:26,993 | 01:02:31,246 | 62 | show’s |
| 710 | 01:02:26,993 | 01:02:31,246 | 62 | conceiver |
| 710 | 01:02:26,993 | 01:02:31,246 | 62 | creator |
| 711 | 01:02:31,956 | 01:02:35,292 | 62 | live |
| 711 | 01:02:31,956 | 01:02:35,292 | 62 | lunar |
| 712 | 01:02:35,376 | 01:02:38,754 | 62 | 221st |
| 712 | 01:02:35,376 | 01:02:38,754 | 62 | floor |
| 712 | 01:02:35,376 | 01:02:38,754 | 62 | omnicam |
| 712 | 01:02:35,376 | 01:02:38,754 | 62 | ecosphere |
| 713 | 01:02:38,838 | 01:02:42,466 | 62 | world’s |
| 713 | 01:02:38,838 | 01:02:42,466 | 62 | televisionary |
| 714 | 01:02:42,675 | 01:02:45,594 | 62 | designer |
| 714 | 01:02:42,675 | 01:02:45,594 | 62 | architect |
| 714 | 01:02:42,675 | 01:02:45,594 | 62 | world |
| 714 | 01:02:42,675 | 01:02:45,594 | 62 | world |
| 715 | 01:02:45,678 | 01:02:47,804 | 62 | seahaven |
| 715 | 01:02:45,678 | 01:02:47,804 | 62 | island |
| 715 | 01:02:45,678 | 01:02:47,804 | 62 | christof |
| 716 | 01:02:49,265 | 01:02:52,100 | 62 | begin |
| 716 | 01:02:49,265 | 01:02:52,100 | 62 | behalf |
| 716 | 01:02:49,265 | 01:02:52,100 | 62 | audience |
| 717 | 01:02:52,185 | 01:02:54,019 | 62 | granting |
| 717 | 01:02:52,185 | 01:02:54,019 | 62 | exclusive |
| 717 | 01:02:52,185 | 01:02:54,019 | 62 | interview |
| 718 | 01:02:54,103 | 01:02:56,354 | 62 | demanding |
| 718 | 01:02:54,103 | 01:02:56,354 | 62 | schedule |
| 719 | 01:02:56,439 | 01:02:59,316 | 62 | jealously |
| 719 | 01:02:56,439 | 01:02:59,316 | 62 | guard |
| 719 | 01:02:56,439 | 01:02:59,316 | 62 | privacy |
| 720 | 01:02:59,400 | 01:03:01,693 | 62 | sir |
| 720 | 01:02:59,400 | 01:03:01,693 | 62 | honor |
| 721 | 01:03:01,861 | 01:03:03,236 | 63 | mention |
| 722 | 01:03:03,321 | 01:03:06,239 | 63 | catalyst |
| 722 | 01:03:03,321 | 01:03:06,239 | 63 | recent |
| 722 | 01:03:03,321 | 01:03:06,239 | 63 | dramatic |
| 722 | 01:03:03,321 | 01:03:06,239 | 63 | events |
| 723 | 01:03:06,324 | 01:03:08,408 | 63 | truman’s |
| 723 | 01:03:06,324 | 01:03:08,408 | 63 | father |
| 723 | 01:03:06,324 | 01:03:08,408 | 63 | kirk |
| 724 | 01:03:08,493 | 01:03:11,870 | 63 | attempts |
| 724 | 01:03:08,493 | 01:03:11,870 | 63 | infiltrate |
| 725 | 01:03:11,954 | 01:03:14,623 | 63 | worth |
| 725 | 01:03:11,954 | 01:03:14,623 | 63 | noting |
| 725 | 01:03:11,954 | 01:03:14,623 | 63 | time |
| 726 | 01:03:14,707 | 01:03:18,043 | 63 | attempted |
| 726 | 01:03:14,707 | 01:03:18,043 | 63 | reach |
| 726 | 01:03:14,707 | 01:03:18,043 | 63 | truman |
| 727 | 01:03:18,127 | 01:03:20,003 | 63 | close |
| 727 | 01:03:18,127 | 01:03:20,003 | 63 | calls |
| 727 | 01:03:18,127 | 01:03:20,003 | 63 | past |
| 728 | 01:03:20,087 | 01:03:23,173 | 63 | truman |
| 728 | 01:03:20,087 | 01:03:23,173 | 63 | television |
| 729 | 01:03:24,050 | 01:03:27,093 | 63 | truman |
| 730 | 01:03:27,887 | 01:03:29,930 | 63 | compare |
| 731 | 01:03:30,014 | 01:03:31,973 | 63 | recent |
| 731 | 01:03:30,014 | 01:03:31,973 | 63 | breach |
| 731 | 01:03:30,014 | 01:03:31,973 | 63 | security |
| 732 | 01:03:32,058 | 01:03:35,227 | 63 | intruder |
| 732 | 01:03:32,058 | 01:03:35,227 | 63 | cast |
| 733 | 01:03:35,853 | 01:03:36,978 | 63 | dead |
| 734 | 01:03:37,063 | 01:03:40,649 | 63 | writing |
| 734 | 01:03:37,063 | 01:03:40,649 | 63 | kirk |
| 734 | 01:03:37,063 | 01:03:40,649 | 63 | masterstroke |
| 735 | 01:03:41,108 | 01:03:43,610 | 63 | kirk |
| 735 | 01:03:41,108 | 01:03:43,610 | 63 | started |
| 735 | 01:03:41,108 | 01:03:43,610 | 63 | crisis |
| 735 | 01:03:41,108 | 01:03:43,610 | 63 | truman’s |
| 735 | 01:03:41,108 | 01:03:43,610 | 63 | life |
| 736 | 01:03:43,694 | 01:03:46,988 | 63 | conclusion |
| 737 | 01:03:47,073 | 01:03:48,198 | 63 | truman |
| 738 | 01:03:48,282 | 01:03:49,574 | 63 | truman |
| 739 | 01:03:50,576 | 01:03:51,743 | 63 | offlimits |
| 740 | 01:03:51,828 | 01:03:55,539 | 63 | dangerous |
| 741 | 01:03:55,790 | 01:03:57,999 | 63 | limitations |
| 741 | 01:03:55,790 | 01:03:57,999 | 63 | truman |
| 742 | 01:03:58,084 | 01:04:02,212 | 63 | remind |
| 742 | 01:03:58,084 | 01:04:02,212 | 63 | viewers |
| 742 | 01:03:58,084 | 01:04:02,212 | 63 | dad |
| 742 | 01:03:58,084 | 01:04:02,212 | 63 | written |
| 743 | 01:04:02,338 | 01:04:05,674 | 64 | truman |
| 743 | 01:04:02,338 | 01:04:05,674 | 64 | grew |
| 743 | 01:04:02,338 | 01:04:05,674 | 64 | forced |
| 743 | 01:04:02,338 | 01:04:05,674 | 64 | manufacture |
| 744 | 01:04:05,758 | 01:04:07,509 | 64 | island |
| 745 | 01:04:07,802 | 01:04:10,512 | 64 | explorer |
| 745 | 01:04:07,802 | 01:04:10,512 | 64 | magellan |
| 746 | 01:04:10,596 | 01:04:12,097 | 64 | late |
| 747 | 01:04:12,181 | 01:04:14,558 | 64 | left |
| 747 | 01:04:12,181 | 01:04:14,558 | 64 | explore |
| 748 | 01:04:19,063 | 01:04:21,690 | 64 | finally |
| 748 | 01:04:19,063 | 01:04:21,690 | 64 | concept |
| 748 | 01:04:19,063 | 01:04:21,690 | 64 | kirk’s |
| 748 | 01:04:19,063 | 01:04:21,690 | 64 | drowning |
| 749 | 01:04:21,774 | 01:04:24,901 | 64 | effective |
| 749 | 01:04:21,774 | 01:04:24,901 | 64 | truman’s |
| 749 | 01:04:21,774 | 01:04:24,901 | 64 | terrified |
| 749 | 01:04:21,774 | 01:04:24,901 | 64 | water |
| 750 | 01:04:24,986 | 01:04:27,821 | 64 | kirk |
| 750 | 01:04:24,986 | 01:04:27,821 | 64 | read |
| 750 | 01:04:24,986 | 01:04:27,821 | 64 | synopsis |
| 750 | 01:04:24,986 | 01:04:27,821 | 64 | death |
| 750 | 01:04:24,986 | 01:04:27,821 | 64 | sea |
| 750 | 01:04:24,986 | 01:04:27,821 | 64 | episode |
| 751 | 01:04:27,905 | 01:04:31,366 | 64 | disappointed |
| 752 | 01:04:32,618 | 01:04:35,036 | 64 | caused |
| 752 | 01:04:32,618 | 01:04:35,036 | 64 | break |
| 752 | 01:04:32,618 | 01:04:35,036 | 64 | set |
| 753 | 01:04:35,121 | 01:04:38,456 | 64 | intend |
| 753 | 01:04:35,121 | 01:04:38,456 | 64 | explain |
| 753 | 01:04:35,121 | 01:04:38,456 | 64 | 22year |
| 753 | 01:04:35,121 | 01:04:38,456 | 64 | absence |
| 754 | 01:04:40,376 | 01:04:42,669 | 64 | amnesia |
| 754 | 01:04:40,376 | 01:04:42,669 | 64 | brilliant |
| 755 | 01:04:43,462 | 01:04:45,297 | 64 | viewer |
| 755 | 01:04:43,462 | 01:04:45,297 | 64 | phone |
| 755 | 01:04:43,462 | 01:04:45,297 | 64 | calls |
| 756 | 01:04:45,381 | 01:04:48,300 | 64 | charlotte |
| 756 | 01:04:45,381 | 01:04:48,300 | 64 | north |
| 756 | 01:04:45,381 | 01:04:48,300 | 64 | carolina |
| 756 | 01:04:45,381 | 01:04:48,300 | 64 | christof |
| 757 | 01:04:49,385 | 01:04:50,844 | 64 | yeah |
| 757 | 01:04:49,385 | 01:04:50,844 | 64 | christof |
| 758 | 01:04:51,137 | 01:04:54,639 | 64 | wondering |
| 758 | 01:04:51,137 | 01:04:54,639 | 64 | cameras |
| 758 | 01:04:51,137 | 01:04:54,639 | 64 | town |
| 759 | 01:04:55,099 | 01:04:57,225 | 64 | vicinity |
| 759 | 01:04:55,099 | 01:04:57,225 | 64 | 5,000 |
| 760 | 01:04:57,643 | 01:05:02,355 | 64 | lot |
| 760 | 01:04:57,643 | 01:05:02,355 | 64 | cameras |
| 760 | 01:04:57,643 | 01:05:02,355 | 64 | remember |
| 760 | 01:04:57,643 | 01:05:02,355 | 64 | started |
| 761 | 01:05:04,108 | 01:05:06,151 | 65 | curious |
| 761 | 01:05:04,108 | 01:05:06,151 | 65 | birth |
| 762 | 01:05:07,153 | 01:05:10,780 | 65 | premature |
| 762 | 01:05:07,153 | 01:05:10,780 | 65 | weeks |
| 762 | 01:05:07,153 | 01:05:10,780 | 65 | wait |
| 762 | 01:05:07,153 | 01:05:10,780 | 65 | started |
| 763 | 01:05:10,865 | 01:05:13,158 | 65 | eagerness |
| 763 | 01:05:10,865 | 01:05:13,158 | 65 | leave |
| 763 | 01:05:10,865 | 01:05:13,158 | 65 | mother’s |
| 763 | 01:05:10,865 | 01:05:13,158 | 65 | womb |
| 764 | 01:05:13,242 | 01:05:15,744 | 65 | reason |
| 764 | 01:05:13,242 | 01:05:15,744 | 65 | selected |
| 765 | 01:05:15,828 | 01:05:18,538 | 65 | competition |
| 765 | 01:05:15,828 | 01:05:18,538 | 65 | unwanted |
| 765 | 01:05:15,828 | 01:05:18,538 | 65 | pregnancies |
| 766 | 01:05:18,623 | 01:05:21,416 | 65 | casting |
| 766 | 01:05:18,623 | 01:05:21,416 | 65 | determined |
| 766 | 01:05:18,623 | 01:05:21,416 | 65 | air |
| 766 | 01:05:18,623 | 01:05:21,416 | 65 | date |
| 767 | 01:05:21,542 | 01:05:23,835 | 65 | truman |
| 767 | 01:05:21,542 | 01:05:23,835 | 65 | arrived |
| 767 | 01:05:21,542 | 01:05:23,835 | 65 | cue |
| 768 | 01:05:28,633 | 01:05:31,509 | 65 | incidentally |
| 768 | 01:05:28,633 | 01:05:31,509 | 65 | truman |
| 768 | 01:05:28,633 | 01:05:31,509 | 65 | child |
| 769 | 01:05:31,594 | 01:05:34,095 | 65 | legally |
| 769 | 01:05:31,594 | 01:05:34,095 | 65 | adopted |
| 769 | 01:05:31,594 | 01:05:34,095 | 65 | corporation |
| 770 | 01:05:34,180 | 01:05:35,305 | 65 | correct |
| 771 | 01:05:35,389 | 01:05:37,766 | 65 | generated |
| 771 | 01:05:35,389 | 01:05:37,766 | 65 | enormous |
| 771 | 01:05:35,389 | 01:05:37,766 | 65 | revenues |
| 772 | 01:05:37,850 | 01:05:41,102 | 65 | equivalent |
| 772 | 01:05:37,850 | 01:05:41,102 | 65 | gross |
| 772 | 01:05:37,850 | 01:05:41,102 | 65 | national |
| 772 | 01:05:37,850 | 01:05:41,102 | 65 | product |
| 772 | 01:05:37,850 | 01:05:41,102 | 65 | country |
| 773 | 01:05:41,187 | 01:05:42,354 | 65 | people |
| 773 | 01:05:41,187 | 01:05:42,354 | 65 | forget |
| 773 | 01:05:41,187 | 01:05:42,354 | 65 | takes |
| 774 | 01:05:42,438 | 01:05:45,148 | 65 | population |
| 774 | 01:05:42,438 | 01:05:45,148 | 65 | entire |
| 774 | 01:05:42,438 | 01:05:45,148 | 65 | country |
| 774 | 01:05:42,438 | 01:05:45,148 | 65 | running |
| 775 | 01:05:45,232 | 01:05:48,902 | 65 | 24 |
| 775 | 01:05:45,232 | 01:05:48,902 | 65 | hours |
| 775 | 01:05:45,232 | 01:05:48,902 | 65 | day |
| 775 | 01:05:45,232 | 01:05:48,902 | 65 | commercial |
| 775 | 01:05:45,232 | 01:05:48,902 | 65 | interruption |
| 776 | 01:05:48,986 | 01:05:52,530 | 65 | staggering |
| 776 | 01:05:48,986 | 01:05:52,530 | 65 | revenues |
| 776 | 01:05:48,986 | 01:05:52,530 | 65 | generated |
| 776 | 01:05:48,986 | 01:05:52,530 | 65 | product |
| 776 | 01:05:48,986 | 01:05:52,530 | 65 | placement |
| 777 | 01:05:52,949 | 01:05:55,283 | 65 | true |
| 777 | 01:05:52,949 | 01:05:55,283 | 65 | sale |
| 778 | 01:05:55,368 | 01:05:58,662 | 65 | actors |
| 778 | 01:05:55,368 | 01:05:58,662 | 65 | wardrobe |
| 778 | 01:05:55,368 | 01:05:58,662 | 65 | food |
| 778 | 01:05:55,368 | 01:05:58,662 | 65 | products |
| 778 | 01:05:55,368 | 01:05:58,662 | 65 | homes |
| 778 | 01:05:55,368 | 01:05:58,662 | 65 | live |
| 779 | 01:05:58,746 | 01:06:01,081 | 65 | truman |
| 779 | 01:05:58,746 | 01:06:01,081 | 65 | catalog |
| 780 | 01:06:01,165 | 01:06:02,540 | 66 | operators |
| 780 | 01:06:01,165 | 01:06:02,540 | 66 | standing |
| 781 | 01:06:02,625 | 01:06:04,376 | 66 | christof |
| 782 | 01:06:04,794 | 01:06:08,046 | 66 | truman |
| 782 | 01:06:04,794 | 01:06:08,046 | 66 | close |
| 783 | 01:06:08,547 | 01:06:11,675 | 66 | discovering |
| 783 | 01:06:08,547 | 01:06:11,675 | 66 | true |
| 783 | 01:06:08,547 | 01:06:11,675 | 66 | nature |
| 783 | 01:06:08,547 | 01:06:11,675 | 66 | world |
| 784 | 01:06:12,134 | 01:06:15,178 | 66 | accept |
| 784 | 01:06:12,134 | 01:06:15,178 | 66 | reality |
| 784 | 01:06:12,134 | 01:06:15,178 | 66 | world |
| 785 | 01:06:15,262 | 01:06:16,888 | 66 | simple |
| 786 | 01:06:17,515 | 01:06:19,140 | 66 | hague |
| 786 | 01:06:17,515 | 01:06:19,140 | 66 | christof |
| 787 | 01:06:19,225 | 01:06:21,434 | 66 | hague |
| 788 | 01:06:22,937 | 01:06:26,523 | 66 | lost |
| 788 | 01:06:22,937 | 01:06:26,523 | 66 | call |
| 788 | 01:06:22,937 | 01:06:26,523 | 66 | hollywood |
| 788 | 01:06:22,937 | 01:06:26,523 | 66 | trutalk |
| 790 | 01:06:29,318 | 01:06:30,986 | 66 | liar |
| 790 | 01:06:29,318 | 01:06:30,986 | 66 | manipulator |
| 791 | 01:06:31,070 | 01:06:33,363 | 66 | truman |
| 791 | 01:06:31,070 | 01:06:33,363 | 66 | sick |
| 792 | 01:06:34,907 | 01:06:37,033 | 66 | remember |
| 792 | 01:06:34,907 | 01:06:37,033 | 66 | voice |
| 793 | 01:06:38,285 | 01:06:40,787 | 66 | forget |
| 793 | 01:06:38,285 | 01:06:40,787 | 66 | call |
| 794 | 01:06:40,871 | 01:06:44,165 | 66 | fine |
| 794 | 01:06:40,871 | 01:06:44,165 | 66 | mike |
| 795 | 01:06:44,583 | 01:06:47,502 | 66 | love |
| 795 | 01:06:44,583 | 01:06:47,502 | 66 | reminisce |
| 795 | 01:06:44,583 | 01:06:47,502 | 66 | cast |
| 796 | 01:06:48,754 | 01:06:50,005 | 66 | sylvia |
| 797 | 01:06:50,965 | 01:06:53,800 | 66 | announced |
| 797 | 01:06:50,965 | 01:06:53,800 | 66 | melodramatically |
| 797 | 01:06:50,965 | 01:06:53,800 | 66 | world |
| 798 | 01:06:55,094 | 01:06:58,346 | 66 | batted |
| 798 | 01:06:55,094 | 01:06:58,346 | 66 | eyes |
| 798 | 01:06:55,094 | 01:06:58,346 | 66 | truman |
| 799 | 01:06:59,724 | 01:07:01,182 | 66 | flirted |
| 800 | 01:07:01,517 | 01:07:03,810 | 67 | stole |
| 800 | 01:07:01,517 | 01:07:03,810 | 67 | minutes |
| 800 | 01:07:01,517 | 01:07:03,810 | 67 | airtime |
| 801 | 01:07:03,894 | 01:07:07,063 | 67 | thrust |
| 801 | 01:07:03,894 | 01:07:07,063 | 67 | politics |
| 801 | 01:07:03,894 | 01:07:07,063 | 67 | limelight |
| 803 | 01:07:11,360 | 01:07:13,987 | 67 | position |
| 803 | 01:07:11,360 | 01:07:13,987 | 67 | judge |
| 804 | 01:07:14,071 | 01:07:16,197 | 67 | baby |
| 805 | 01:07:16,282 | 01:07:18,950 | 67 | life |
| 805 | 01:07:16,282 | 01:07:18,950 | 67 | mockery |
| 806 | 01:07:19,785 | 01:07:21,578 | 67 | feel |
| 806 | 01:07:19,785 | 01:07:21,578 | 67 | guilty |
| 807 | 01:07:23,247 | 01:07:27,000 | 67 | truman |
| 807 | 01:07:23,247 | 01:07:27,000 | 67 | chance |
| 807 | 01:07:23,247 | 01:07:27,000 | 67 | lead |
| 807 | 01:07:23,247 | 01:07:27,000 | 67 | normal |
| 807 | 01:07:23,247 | 01:07:27,000 | 67 | life |
| 808 | 01:07:28,335 | 01:07:31,379 | 67 | world |
| 808 | 01:07:28,335 | 01:07:31,379 | 67 | live |
| 809 | 01:07:32,465 | 01:07:33,882 | 67 | sick |
| 810 | 01:07:36,010 | 01:07:38,053 | 67 | seahaven |
| 810 | 01:07:36,010 | 01:07:38,053 | 67 | world |
| 811 | 01:07:38,137 | 01:07:41,848 | 67 | perfermer |
| 811 | 01:07:38,137 | 01:07:41,848 | 67 | prisoner |
| 812 | 01:07:41,932 | 01:07:43,641 | 67 | leave |
| 812 | 01:07:41,932 | 01:07:43,641 | 67 | time |
| 813 | 01:07:43,851 | 01:07:46,394 | 67 | vague |
| 813 | 01:07:43,851 | 01:07:46,394 | 67 | ambition |
| 814 | 01:07:46,479 | 01:07:50,065 | 67 | absolutely |
| 814 | 01:07:46,479 | 01:07:50,065 | 67 | determined |
| 814 | 01:07:46,479 | 01:07:50,065 | 67 | discover |
| 814 | 01:07:46,479 | 01:07:50,065 | 67 | truth |
| 815 | 01:07:51,275 | 01:07:53,485 | 67 | prevent |
| 816 | 01:07:53,778 | 01:07:56,446 | 67 | distresses |
| 817 | 01:07:57,406 | 01:08:00,658 | 67 | caller |
| 817 | 01:07:57,406 | 01:08:00,658 | 67 | ultimately |
| 818 | 01:08:01,911 | 01:08:05,538 | 68 | truman |
| 818 | 01:08:01,911 | 01:08:05,538 | 68 | prefers |
| 818 | 01:08:01,911 | 01:08:05,538 | 68 | cell |
| 818 | 01:08:01,911 | 01:08:05,538 | 68 | call |
| 819 | 01:08:05,956 | 01:08:07,665 | 68 | wrong |
| 820 | 01:08:08,167 | 01:08:10,919 | 68 | wrong |
| 820 | 01:08:08,167 | 01:08:10,919 | 68 | prove |
| 820 | 01:08:08,167 | 01:08:10,919 | 68 | wrong |
| 821 | 01:08:11,337 | 01:08:15,548 | 68 | heated |
| 821 | 01:08:11,337 | 01:08:15,548 | 68 | comments |
| 821 | 01:08:11,337 | 01:08:15,548 | 68 | vocal |
| 821 | 01:08:11,337 | 01:08:15,548 | 68 | minority |
| 822 | 01:08:15,758 | 01:08:18,468 | 68 | overwhelmingly |
| 822 | 01:08:15,758 | 01:08:18,468 | 68 | positive |
| 822 | 01:08:15,758 | 01:08:18,468 | 68 | experience |
| 823 | 01:08:18,677 | 01:08:21,012 | 68 | truman |
| 823 | 01:08:18,677 | 01:08:21,012 | 68 | viewing |
| 823 | 01:08:18,677 | 01:08:21,012 | 68 | public |
| 824 | 01:08:21,097 | 01:08:23,014 | 68 | christof |
| 825 | 01:08:23,099 | 01:08:25,558 | 68 | giving |
| 825 | 01:08:23,099 | 01:08:25,558 | 68 | generously |
| 825 | 01:08:23,099 | 01:08:25,558 | 68 | time |
| 825 | 01:08:23,099 | 01:08:25,558 | 68 | tonight |
| 826 | 01:08:25,643 | 01:08:28,520 | 68 | safe |
| 826 | 01:08:25,643 | 01:08:28,520 | 68 | crisis |
| 827 | 01:08:28,604 | 01:08:30,271 | 68 | truman’s |
| 828 | 01:08:30,356 | 01:08:33,691 | 68 | forward |
| 828 | 01:08:30,356 | 01:08:33,691 | 68 | exciting |
| 828 | 01:08:30,356 | 01:08:33,691 | 68 | developments |
| 829 | 01:08:33,776 | 01:08:37,112 | 68 | mike |
| 829 | 01:08:33,776 | 01:08:37,112 | 68 | news |
| 829 | 01:08:33,776 | 01:08:37,112 | 68 | meryl |
| 829 | 01:08:33,776 | 01:08:37,112 | 68 | leaving |
| 829 | 01:08:33,776 | 01:08:37,112 | 68 | truman |
| 830 | 01:08:37,196 | 01:08:38,780 | 68 | upcoming |
| 830 | 01:08:37,196 | 01:08:38,780 | 68 | episode |
| 831 | 01:08:38,864 | 01:08:41,533 | 68 | romantic |
| 831 | 01:08:38,864 | 01:08:41,533 | 68 | introduced |
| 832 | 01:08:42,201 | 01:08:46,538 | 68 | determined |
| 832 | 01:08:42,201 | 01:08:46,538 | 68 | television’s |
| 832 | 01:08:42,201 | 01:08:46,538 | 68 | onair |
| 832 | 01:08:42,201 | 01:08:46,538 | 68 | conception |
| 833 | 01:08:46,956 | 01:08:50,959 | 68 | television |
| 833 | 01:08:46,956 | 01:08:50,959 | 68 | milestone |
| 833 | 01:08:46,956 | 01:08:50,959 | 68 | straight |
| 833 | 01:08:46,956 | 01:08:50,959 | 68 | ahead |
| 833 | 01:08:46,956 | 01:08:50,959 | 68 | heard |
| 834 | 01:08:51,043 | 01:08:53,795 | 68 | singular |
| 834 | 01:08:51,043 | 01:08:53,795 | 68 | honor |
| 834 | 01:08:51,043 | 01:08:53,795 | 68 | pleasure |
| 834 | 01:08:51,043 | 01:08:53,795 | 68 | sir |
| 835 | 01:08:53,879 | 01:08:56,464 | 68 | christof |
| 835 | 01:08:53,879 | 01:08:56,464 | 68 | mike |
| 836 | 01:10:14,919 | 01:10:16,544 | 70 | simeon |
| 838 | 01:10:22,927 | 01:10:24,886 | 70 | jesus |
| 840 | 01:10:27,806 | 01:10:29,349 | 70 | call |
| 840 | 01:10:27,806 | 01:10:29,349 | 70 | christof |
| 841 | 01:10:29,475 | 01:10:31,476 | 70 | major |
| 841 | 01:10:29,475 | 01:10:31,476 | 70 | burbank |
| 842 | 01:10:43,656 | 01:10:44,656 | 70 | jesus |
| 843 | 01:10:48,994 | 01:10:51,913 | 70 | god |
| 844 | 01:10:59,755 | 01:11:02,215 | 70 | unusual |
| 844 | 01:10:59,755 | 01:11:02,215 | 70 | cat |
| 845 | 01:11:07,096 | 01:11:10,348 | 71 | proclaim |
| 845 | 01:11:07,096 | 01:11:10,348 | 71 | planet |
| 846 | 01:11:15,104 | 01:11:17,897 | 71 | trumania |
| 846 | 01:11:15,104 | 01:11:17,897 | 71 | burbank |
| 846 | 01:11:15,104 | 01:11:17,897 | 71 | galaxy |
| 847 | 01:11:20,359 | 01:11:22,694 | 71 | gonna |
| 847 | 01:11:20,359 | 01:11:22,694 | 71 | hallway |
| 847 | 01:11:20,359 | 01:11:22,694 | 71 | camera |
| 847 | 01:11:20,359 | 01:11:22,694 | 71 | ready |
| 848 | 01:11:24,571 | 01:11:25,947 | 71 | one’s |
| 848 | 01:11:24,571 | 01:11:25,947 | 71 | free |
| 849 | 01:11:26,031 | 01:11:27,991 | 71 | move |
| 849 | 01:11:26,031 | 01:11:27,991 | 71 | fast |
| 850 | 01:11:28,075 | 01:11:30,201 | 71 | stand |
| 850 | 01:11:28,075 | 01:11:30,201 | 71 | house |
| 850 | 01:11:28,075 | 01:11:30,201 | 71 | cameras |
| 851 | 01:11:31,245 | 01:11:33,454 | 71 | morning |
| 851 | 01:11:31,245 | 01:11:33,454 | 71 | morning |
| 852 | 01:11:33,622 | 01:11:35,290 | 71 | morning |
| 852 | 01:11:33,622 | 01:11:35,290 | 71 | morning |
| 854 | 01:11:37,126 | 01:11:39,669 | 71 | afternoon |
| 854 | 01:11:37,126 | 01:11:39,669 | 71 | evening |
| 854 | 01:11:37,126 | 01:11:39,669 | 71 | night |
| 855 | 01:11:42,089 | 01:11:44,465 | 71 | afternoon |
| 855 | 01:11:42,089 | 01:11:44,465 | 71 | morning |
| 856 | 01:11:44,550 | 01:11:46,676 | 71 | evening |
| 856 | 01:11:44,550 | 01:11:46,676 | 71 | night |
| 857 | 01:11:47,344 | 01:11:49,470 | 71 | morning |
| 857 | 01:11:47,344 | 01:11:49,470 | 71 | truman |
| 857 | 01:11:47,344 | 01:11:49,470 | 71 | morning |
| 857 | 01:11:47,344 | 01:11:49,470 | 71 | spencer |
| 858 | 01:11:49,555 | 01:11:51,848 | 71 | check |
| 859 | 01:11:52,641 | 01:11:54,183 | 71 | vital |
| 859 | 01:11:52,641 | 01:11:54,183 | 71 | signs |
| 860 | 01:11:56,562 | 01:11:57,812 | 71 | pluto |
| 861 | 01:11:58,355 | 01:11:59,981 | 71 | morning |
| 861 | 01:11:58,355 | 01:11:59,981 | 71 | truman |
| 862 | 01:12:00,065 | 01:12:02,817 | 72 | beautiful |
| 862 | 01:12:00,065 | 01:12:02,817 | 72 | day |
| 863 | 01:12:03,110 | 01:12:04,235 | 72 | single |
| 863 | 01:12:03,110 | 01:12:04,235 | 72 | day |
| 864 | 01:12:04,320 | 01:12:07,238 | 72 | policy |
| 864 | 01:12:04,320 | 01:12:07,238 | 72 | gonna |
| 865 | 01:12:07,323 | 01:12:08,614 | 72 | kidding |
| 866 | 01:12:08,699 | 01:12:11,451 | 72 | office |
| 866 | 01:12:08,699 | 01:12:11,451 | 72 | sign |
| 866 | 01:12:08,699 | 01:12:11,451 | 72 | papers |
| 867 | 01:12:11,535 | 01:12:14,162 | 72 | week |
| 868 | 01:12:14,246 | 01:12:17,457 | 72 | guys |
| 868 | 01:12:14,246 | 01:12:17,457 | 72 | bye |
| 868 | 01:12:14,246 | 01:12:17,457 | 72 | week |
| 869 | 01:12:17,541 | 01:12:20,209 | 72 | forward |
| 870 | 01:12:20,294 | 01:12:22,003 | 72 | insurance |
| 871 | 01:12:22,421 | 01:12:26,591 | 72 | variable |
| 871 | 01:12:22,421 | 01:12:26,591 | 72 | death |
| 871 | 01:12:22,421 | 01:12:26,591 | 72 | occur |
| 872 | 01:12:26,925 | 01:12:29,010 | 72 | week |
| 872 | 01:12:26,925 | 01:12:29,010 | 72 | month |
| 874 | 01:12:33,557 | 01:12:35,850 | 72 | sunbather |
| 874 | 01:12:33,557 | 01:12:35,850 | 72 | minding |
| 874 | 01:12:33,557 | 01:12:35,850 | 72 | business |
| 875 | 01:12:36,685 | 01:12:39,771 | 72 | stabbed |
| 875 | 01:12:36,685 | 01:12:39,771 | 72 | heart |
| 875 | 01:12:36,685 | 01:12:39,771 | 72 | tip |
| 875 | 01:12:36,685 | 01:12:39,771 | 72 | runaway |
| 875 | 01:12:36,685 | 01:12:39,771 | 72 | beach |
| 875 | 01:12:36,685 | 01:12:39,771 | 72 | umbrella |
| 876 | 01:12:39,855 | 01:12:42,398 | 72 | guard |
| 877 | 01:12:44,568 | 01:12:46,027 | 72 | excuse |
| 878 | 01:12:46,236 | 01:12:48,529 | 72 | truman |
| 878 | 01:12:46,236 | 01:12:48,529 | 72 | vivien |
| 878 | 01:12:46,236 | 01:12:48,529 | 72 | vivien |
| 878 | 01:12:46,236 | 01:12:48,529 | 72 | truman |
| 879 | 01:12:48,614 | 01:12:50,948 | 72 | gonna |
| 879 | 01:12:48,614 | 01:12:50,948 | 72 | neighbors |
| 880 | 01:12:55,037 | 01:12:58,748 | 72 | guess |
| 880 | 01:12:55,037 | 01:12:58,748 | 72 | life |
| 881 | 01:12:59,541 | 01:13:00,792 | 72 | fragile |
| 882 | 01:13:02,544 | 01:13:04,170 | 73 | vivien |
| 882 | 01:13:02,544 | 01:13:04,170 | 73 | office |
| 885 | 01:13:10,344 | 01:13:13,304 | 73 | information |
| 886 | 01:13:29,613 | 01:13:31,239 | 73 | ready |
| 886 | 01:13:29,613 | 01:13:31,239 | 73 | 2 |
| 886 | 01:13:29,613 | 01:13:31,239 | 73 | 2 |
| 887 | 01:13:35,702 | 01:13:37,161 | 73 | medium |
| 888 | 01:13:39,206 | 01:13:40,581 | 73 | wide |
| 889 | 01:13:48,590 | 01:13:51,342 | 73 | train |
| 889 | 01:13:48,590 | 01:13:51,342 | 73 | kid |
| 890 | 01:13:52,261 | 01:13:53,594 | 73 | mind |
| 891 | 01:13:56,807 | 01:13:58,850 | 73 | basement |
| 892 | 01:13:59,143 | 01:14:01,644 | 73 | moved |
| 892 | 01:13:59,143 | 01:14:01,644 | 73 | meryl |
| 892 | 01:13:59,143 | 01:14:01,644 | 73 | packed |
| 892 | 01:13:59,143 | 01:14:01,644 | 73 | left |
| 893 | 01:14:01,728 | 01:14:03,146 | 74 | told |
| 894 | 01:14:03,230 | 01:14:05,857 | 74 | unpredictable |
| 894 | 01:14:03,230 | 01:14:05,857 | 74 | behavior |
| 894 | 01:14:03,230 | 01:14:05,857 | 74 | reported |
| 895 | 01:14:07,276 | 01:14:09,152 | 74 | sleeping |
| 896 | 01:14:09,236 | 01:14:11,779 | 74 | shot |
| 897 | 01:14:11,864 | 01:14:15,491 | 74 | clock |
| 897 | 01:14:11,864 | 01:14:15,491 | 74 | cam |
| 897 | 01:14:11,864 | 01:14:15,491 | 74 | obstruction |
| 898 | 01:14:15,993 | 01:14:19,745 | 74 | happened |
| 898 | 01:14:15,993 | 01:14:19,745 | 74 | tidying |
| 898 | 01:14:15,993 | 01:14:19,745 | 74 | garbage |
| 899 | 01:14:20,747 | 01:14:24,709 | 74 | gonna |
| 899 | 01:14:20,747 | 01:14:24,709 | 74 | call |
| 899 | 01:14:20,747 | 01:14:24,709 | 74 | halfway |
| 899 | 01:14:20,747 | 01:14:24,709 | 74 | fell |
| 899 | 01:14:20,747 | 01:14:24,709 | 74 | asleep |
| 900 | 01:14:25,085 | 01:14:28,254 | 74 | wanna |
| 900 | 01:14:25,085 | 01:14:28,254 | 74 | check |
| 900 | 01:14:25,085 | 01:14:28,254 | 74 | setups |
| 900 | 01:14:25,085 | 01:14:28,254 | 74 | insurance |
| 900 | 01:14:25,085 | 01:14:28,254 | 74 | convention |
| 900 | 01:14:25,085 | 01:14:28,254 | 74 | tomorrow |
| 901 | 01:14:28,338 | 01:14:29,714 | 74 | yeah |
| 902 | 01:14:30,716 | 01:14:32,049 | 74 | nice |
| 902 | 01:14:30,716 | 01:14:32,049 | 74 | move |
| 904 | 01:14:53,363 | 01:14:54,739 | 74 | isolate |
| 904 | 01:14:53,363 | 01:14:54,739 | 74 | audio |
| 905 | 01:14:56,074 | 01:14:58,075 | 74 | closeup |
| 905 | 01:14:56,074 | 01:14:58,075 | 74 | torso |
| 906 | 01:15:00,913 | 01:15:02,413 | 75 | breathing |
| 907 | 01:15:04,625 | 01:15:06,292 | 75 | chloe |
| 907 | 01:15:04,625 | 01:15:06,292 | 75 | call |
| 908 | 01:15:06,502 | 01:15:09,754 | 75 | wrong |
| 910 | 01:15:15,260 | 01:15:17,803 | 75 | wait |
| 910 | 01:15:15,260 | 01:15:17,803 | 75 | busy |
| 913 | 01:15:23,894 | 01:15:26,854 | 75 | stand |
| 914 | 01:15:26,939 | 01:15:28,439 | 75 | shut |
| 914 | 01:15:26,939 | 01:15:28,439 | 75 | watch |
| 915 | 01:15:29,066 | 01:15:31,150 | 75 | night |
| 915 | 01:15:29,066 | 01:15:31,150 | 75 | vision |
| 916 | 01:15:31,944 | 01:15:33,361 | 75 | asleep |
| 918 | 01:15:36,657 | 01:15:38,407 | 75 | zoom |
| 919 | 01:15:38,742 | 01:15:40,326 | 75 | chair |
| 920 | 01:15:42,788 | 01:15:44,121 | 75 | enhance |
| 921 | 01:15:46,667 | 01:15:49,168 | 75 | god |
| 922 | 01:15:50,963 | 01:15:54,090 | 75 | stairs |
| 923 | 01:15:54,174 | 01:15:55,800 | 75 | marlon |
| 924 | 01:16:11,483 | 01:16:12,650 | 76 | truman |
| 925 | 01:16:13,527 | 01:16:14,819 | 76 | surprise |
| 925 | 01:16:13,527 | 01:16:14,819 | 76 | party |
| 926 | 01:16:16,863 | 01:16:18,155 | 76 | buddy |
| 927 | 01:16:18,407 | 01:16:21,534 | 76 | sixpack |
| 927 | 01:16:18,407 | 01:16:21,534 | 76 | cold |
| 927 | 01:16:18,407 | 01:16:21,534 | 76 | brewskis |
| 928 | 01:16:21,660 | 01:16:23,953 | 76 | pal |
| 928 | 01:16:21,660 | 01:16:23,953 | 76 | buddy |
| 929 | 01:16:27,958 | 01:16:29,041 | 76 | shit |
| 930 | 01:16:32,337 | 01:16:34,839 | 76 | marlon |
| 932 | 01:16:41,221 | 01:16:43,014 | 76 | light |
| 933 | 01:16:43,932 | 01:16:46,392 | 76 | gonna |
| 934 | 01:16:49,980 | 01:16:51,564 | 76 | check |
| 934 | 01:16:49,980 | 01:16:51,564 | 76 | table |
| 935 | 01:16:52,983 | 01:16:54,609 | 76 | closet |
| 936 | 01:16:58,614 | 01:16:59,614 | 76 | huh |
| 937 | 01:17:01,408 | 01:17:02,408 | 77 | gee |
| 938 | 01:17:03,285 | 01:17:05,494 | 77 | possibly |
| 939 | 01:17:13,420 | 01:17:15,671 | 77 | lawn |
| 939 | 01:17:13,420 | 01:17:15,671 | 77 | cam |
| 939 | 01:17:13,420 | 01:17:15,671 | 77 | lawn |
| 939 | 01:17:13,420 | 01:17:15,671 | 77 | cam |
| 940 | 01:17:23,347 | 01:17:26,015 | 77 | camera |
| 942 | 01:17:27,726 | 01:17:29,560 | 77 | cut |
| 942 | 01:17:27,726 | 01:17:29,560 | 77 | transmission |
| 942 | 01:17:27,726 | 01:17:29,560 | 77 | cut |
| 942 | 01:17:27,726 | 01:17:29,560 | 77 | transmission |
| 943 | 01:17:29,645 | 01:17:30,895 | 77 | cut |
| 944 | 01:17:33,273 | 01:17:35,149 | 77 | jesus |
| 944 | 01:17:33,273 | 01:17:35,149 | 77 | god |
| 944 | 01:17:33,273 | 01:17:35,149 | 77 | heaven |
| 945 | 01:17:36,735 | 01:17:39,070 | 77 | everything’s |
| 945 | 01:17:36,735 | 01:17:39,070 | 77 | black |
| 945 | 01:17:36,735 | 01:17:39,070 | 77 | phone |
| 947 | 01:18:00,509 | 01:18:03,594 | 78 | extra |
| 948 | 01:18:03,679 | 01:18:07,973 | 78 | principals |
| 948 | 01:18:03,679 | 01:18:07,973 | 78 | helping |
| 948 | 01:18:03,679 | 01:18:07,973 | 78 | crew |
| 948 | 01:18:03,679 | 01:18:07,973 | 78 | sector’s |
| 948 | 01:18:03,679 | 01:18:07,973 | 78 | covered |
| 949 | 01:18:08,642 | 01:18:11,352 | 78 | prop |
| 949 | 01:18:08,642 | 01:18:11,352 | 78 | cars |
| 949 | 01:18:08,642 | 01:18:11,352 | 78 | accounted |
| 950 | 01:18:11,436 | 01:18:12,853 | 78 | foot |
| 951 | 01:18:12,938 | 01:18:15,856 | 78 | world’s |
| 951 | 01:18:12,938 | 01:18:15,856 | 78 | recognizable |
| 951 | 01:18:12,938 | 01:18:15,856 | 78 | disappear |
| 953 | 01:18:53,687 | 01:18:57,314 | 78 | hunt |
| 953 | 01:18:53,687 | 01:18:57,314 | 78 | yeah |
| 953 | 01:18:53,687 | 01:18:57,314 | 78 | pluto |
| 954 | 01:18:57,899 | 01:18:59,108 | 78 | dog |
| 955 | 01:18:59,192 | 01:19:00,443 | 78 | fuss |
| 956 | 01:19:01,278 | 01:19:03,279 | 79 | hear |
| 956 | 01:19:01,278 | 01:19:03,279 | 79 | voice |
| 957 | 01:19:04,239 | 01:19:05,448 | 79 | truman |
| 958 | 01:19:08,577 | 01:19:10,870 | 79 | truman |
| 959 | 01:19:12,164 | 01:19:13,998 | 79 | dad |
| 960 | 01:19:16,293 | 01:19:17,501 | 79 | talk |
| 961 | 01:19:19,171 | 01:19:20,671 | 79 | yeah |
| 962 | 01:19:22,382 | 01:19:24,300 | 79 | square |
| 963 | 01:19:24,384 | 01:19:26,969 | 79 | barrymore |
| 963 | 01:19:24,384 | 01:19:26,969 | 79 | check |
| 963 | 01:19:24,384 | 01:19:26,969 | 79 | interiors |
| 964 | 01:19:27,053 | 01:19:29,263 | 79 | barrymore |
| 965 | 01:19:29,681 | 01:19:31,807 | 79 | college |
| 965 | 01:19:29,681 | 01:19:31,807 | 79 | watching |
| 967 | 01:19:32,976 | 01:19:35,311 | 79 | send |
| 969 | 01:19:42,027 | 01:19:44,278 | 79 | damn |
| 969 | 01:19:42,027 | 01:19:44,278 | 79 | son |
| 969 | 01:19:42,027 | 01:19:44,278 | 79 | bitch |
| 970 | 01:19:44,362 | 01:19:45,321 | 79 | batteries |
| 971 | 01:19:45,405 | 01:19:48,115 | 79 | guy’s |
| 971 | 01:19:45,405 | 01:19:48,115 | 79 | gonna |
| 971 | 01:19:45,405 | 01:19:48,115 | 79 | glow |
| 971 | 01:19:45,405 | 01:19:48,115 | 79 | dark |
| 972 | 01:19:48,200 | 01:19:50,910 | 79 | reroute |
| 973 | 01:19:50,994 | 01:19:54,205 | 79 | light |
| 974 | 01:19:59,503 | 01:20:00,878 | 79 | time |
| 976 | 01:20:10,222 | 01:20:11,388 | 80 | cue |
| 976 | 01:20:10,222 | 01:20:11,388 | 80 | sun |
| 977 | 01:20:17,979 | 01:20:19,355 | 80 | time |
| 978 | 01:20:20,357 | 01:20:22,066 | 80 | christof |
| 979 | 01:20:22,609 | 01:20:25,569 | 80 | rumor |
| 979 | 01:20:22,609 | 01:20:25,569 | 80 | circulating |
| 979 | 01:20:22,609 | 01:20:25,569 | 80 | dead |
| 980 | 01:20:25,654 | 01:20:26,821 | 80 | hear |
| 981 | 01:20:26,905 | 01:20:29,198 | 80 | media |
| 981 | 01:20:26,905 | 01:20:29,198 | 80 | feeding |
| 981 | 01:20:26,905 | 01:20:29,198 | 80 | frenzy |
| 982 | 01:20:29,282 | 01:20:31,033 | 80 | phone |
| 982 | 01:20:29,282 | 01:20:31,033 | 80 | lines |
| 982 | 01:20:29,282 | 01:20:31,033 | 80 | jammed |
| 983 | 01:20:31,117 | 01:20:32,701 | 80 | network |
| 983 | 01:20:31,117 | 01:20:32,701 | 80 | pirated |
| 983 | 01:20:31,117 | 01:20:32,701 | 80 | shot |
| 984 | 01:20:32,786 | 01:20:35,037 | 80 | marlon |
| 984 | 01:20:32,786 | 01:20:35,037 | 80 | ass |
| 984 | 01:20:32,786 | 01:20:35,037 | 80 | front |
| 984 | 01:20:32,786 | 01:20:35,037 | 80 | camera |
| 985 | 01:20:35,121 | 01:20:37,331 | 80 | sponsors |
| 985 | 01:20:35,121 | 01:20:37,331 | 80 | threatening |
| 985 | 01:20:35,121 | 01:20:37,331 | 80 | rip |
| 985 | 01:20:35,121 | 01:20:37,331 | 80 | contracts |
| 986 | 01:20:37,415 | 01:20:38,833 | 80 | ratings |
| 986 | 01:20:37,415 | 01:20:38,833 | 80 | graphic |
| 988 | 01:20:44,923 | 01:20:46,215 | 80 | sign |
| 989 | 01:20:46,383 | 01:20:49,176 | 80 | marlon |
| 989 | 01:20:46,383 | 01:20:49,176 | 80 | head |
| 989 | 01:20:46,383 | 01:20:49,176 | 80 | town |
| 989 | 01:20:46,383 | 01:20:49,176 | 80 | join |
| 990 | 01:20:49,261 | 01:20:52,221 | 80 | positions |
| 991 | 01:20:53,765 | 01:20:55,975 | 80 | everyone’s |
| 991 | 01:20:53,765 | 01:20:55,975 | 80 | positions |
| 992 | 01:21:11,366 | 01:21:14,869 | 81 | light |
| 993 | 01:21:17,664 | 01:21:19,373 | 81 | watching |
| 993 | 01:21:17,664 | 01:21:19,373 | 81 | sea |
| 994 | 01:21:19,457 | 01:21:22,001 | 81 | hang |
| 994 | 01:21:19,457 | 01:21:22,001 | 81 | minute |
| 994 | 01:21:19,457 | 01:21:22,001 | 81 | watch |
| 994 | 01:21:19,457 | 01:21:22,001 | 81 | sea |
| 995 | 01:21:22,627 | 01:21:23,961 | 81 | sweep |
| 995 | 01:21:22,627 | 01:21:23,961 | 81 | harbor |
| 996 | 01:21:24,129 | 01:21:25,671 | 81 | bring |
| 996 | 01:21:24,129 | 01:21:25,671 | 81 | harbor |
| 996 | 01:21:24,129 | 01:21:25,671 | 81 | cameras |
| 997 | 01:21:25,755 | 01:21:28,090 | 81 | shift |
| 997 | 01:21:25,755 | 01:21:28,090 | 81 | harbor |
| 997 | 01:21:25,755 | 01:21:28,090 | 81 | cameras |
| 997 | 01:21:25,755 | 01:21:28,090 | 81 | computer |
| 999 | 01:21:29,885 | 01:21:33,304 | 81 | yeah |
| 999 | 01:21:29,885 | 01:21:33,304 | 81 | lighthouse |
| 999 | 01:21:29,885 | 01:21:33,304 | 81 | cameras |
| 1000 | 01:21:33,388 | 01:21:35,848 | 81 | buoy |
| 1000 | 01:21:33,388 | 01:21:35,848 | 81 | cams |
| 1000 | 01:21:33,388 | 01:21:35,848 | 81 | happening |
| 1001 | 01:21:36,975 | 01:21:38,601 | 81 | longlens |
| 1001 | 01:21:36,975 | 01:21:38,601 | 81 | shorebased |
| 1001 | 01:21:36,975 | 01:21:38,601 | 81 | cameras |
| 1002 | 01:21:38,685 | 01:21:40,728 | 81 | water |
| 1003 | 01:21:40,812 | 01:21:42,646 | 81 | pan |
| 1003 | 01:21:40,812 | 01:21:42,646 | 81 | zoom |
| 1004 | 01:21:46,109 | 01:21:47,318 | 81 | truman |
| 1006 | 01:21:52,949 | 01:21:54,825 | 81 | sail |
| 1006 | 01:21:52,949 | 01:21:54,825 | 81 | insurance |
| 1007 | 01:21:54,910 | 01:21:57,411 | 81 | terrified |
| 1007 | 01:21:54,910 | 01:21:57,411 | 81 | water |
| 1007 | 01:21:54,910 | 01:21:57,411 | 81 | resume |
| 1007 | 01:21:54,910 | 01:21:57,411 | 81 | transmission |
| 1008 | 01:21:57,495 | 01:21:59,079 | 81 | resuming |
| 1008 | 01:21:57,495 | 01:21:59,079 | 81 | transmission |
| 1009 | 01:22:04,294 | 01:22:07,421 | 82 | 2to1 |
| 1009 | 01:22:04,294 | 01:22:07,421 | 82 | piece |
| 1010 | 01:22:07,505 | 01:22:09,590 | 82 | 2to1 |
| 1011 | 01:22:11,968 | 01:22:13,677 | 82 | leave |
| 1011 | 01:22:11,968 | 01:22:13,677 | 82 | car |
| 1012 | 01:22:26,733 | 01:22:30,611 | 82 | mast |
| 1012 | 01:22:26,733 | 01:22:30,611 | 82 | shot |
| 1012 | 01:22:26,733 | 01:22:30,611 | 82 | cabin |
| 1012 | 01:22:26,733 | 01:22:30,611 | 82 | cam |
| 1013 | 01:22:33,615 | 01:22:35,157 | 82 | perfect |
| 1014 | 01:22:36,117 | 01:22:37,660 | 82 | hero |
| 1014 | 01:22:36,117 | 01:22:37,660 | 82 | shot |
| 1015 | 01:23:03,269 | 01:23:05,062 | 83 | boat |
| 1016 | 01:23:05,146 | 01:23:08,399 | 83 | listen |
| 1016 | 01:23:05,146 | 01:23:08,399 | 83 | gus |
| 1016 | 01:23:05,146 | 01:23:08,399 | 83 | talk |
| 1016 | 01:23:05,146 | 01:23:08,399 | 83 | guys |
| 1016 | 01:23:05,146 | 01:23:08,399 | 83 | ferry |
| 1017 | 01:23:08,483 | 01:23:11,026 | 83 | moving |
| 1019 | 01:23:15,115 | 01:23:18,742 | 83 | bus |
| 1019 | 01:23:15,115 | 01:23:18,742 | 83 | driver |
| 1019 | 01:23:15,115 | 01:23:18,742 | 83 | bottom |
| 1019 | 01:23:15,115 | 01:23:18,742 | 83 | line |
| 1019 | 01:23:15,115 | 01:23:18,742 | 83 | drive |
| 1019 | 01:23:15,115 | 01:23:18,742 | 83 | boat |
| 1020 | 01:23:18,952 | 01:23:20,244 | 83 | actors |
| 1021 | 01:23:24,708 | 01:23:26,166 | 83 | stop |
| 1023 | 01:23:40,306 | 01:23:43,934 | 83 | accessing |
| 1023 | 01:23:40,306 | 01:23:43,934 | 83 | weather |
| 1023 | 01:23:40,306 | 01:23:43,934 | 83 | program |
| 1024 | 01:23:44,602 | 01:23:48,272 | 83 | hold |
| 1024 | 01:23:44,602 | 01:23:48,272 | 83 | hats |
| 1025 | 01:23:48,773 | 01:23:52,943 | 83 | gonna |
| 1025 | 01:23:48,773 | 01:23:52,943 | 83 | localize |
| 1025 | 01:23:48,773 | 01:23:52,943 | 83 | storm |
| 1025 | 01:23:48,773 | 01:23:52,943 | 83 | boat |
| 1026 | 01:23:56,031 | 01:23:58,032 | 83 | coordinates |
| 1027 | 01:23:58,116 | 01:24:00,743 | 83 | rescue |
| 1027 | 01:23:58,116 | 01:24:00,743 | 83 | boat |
| 1028 | 01:24:00,827 | 01:24:03,120 | 84 | afraid |
| 1029 | 01:24:06,541 | 01:24:07,916 | 84 | thar |
| 1029 | 01:24:06,541 | 01:24:07,916 | 84 | blows |
| 1031 | 01:24:44,662 | 01:24:46,163 | 84 | lightning |
| 1033 | 01:24:49,000 | 01:24:50,209 | 84 | hit |
| 1034 | 01:25:01,930 | 01:25:04,181 | 85 | god’s |
| 1034 | 01:25:01,930 | 01:25:04,181 | 85 | sake |
| 1034 | 01:25:01,930 | 01:25:04,181 | 85 | world |
| 1034 | 01:25:01,930 | 01:25:04,181 | 85 | watching |
| 1035 | 01:25:04,265 | 01:25:06,433 | 85 | die |
| 1035 | 01:25:04,265 | 01:25:06,433 | 85 | front |
| 1035 | 01:25:04,265 | 01:25:06,433 | 85 | live |
| 1035 | 01:25:04,265 | 01:25:06,433 | 85 | audience |
| 1036 | 01:25:06,518 | 01:25:08,352 | 85 | born |
| 1036 | 01:25:06,518 | 01:25:08,352 | 85 | front |
| 1036 | 01:25:06,518 | 01:25:08,352 | 85 | live |
| 1036 | 01:25:06,518 | 01:25:08,352 | 85 | audience |
| 1037 | 01:25:36,965 | 01:25:38,799 | 85 | truman |
| 1038 | 01:25:42,387 | 01:25:44,721 | 85 | hold |
| 1040 | 01:26:13,626 | 01:26:16,753 | 86 | gonna |
| 1040 | 01:26:13,626 | 01:26:16,753 | 86 | kill |
| 1041 | 01:26:17,922 | 01:26:20,174 | 86 | drunken |
| 1041 | 01:26:17,922 | 01:26:20,174 | 86 | sailor |
| 1042 | 01:26:20,258 | 01:26:22,843 | 86 | demand |
| 1042 | 01:26:20,258 | 01:26:22,843 | 86 | cease |
| 1042 | 01:26:20,258 | 01:26:22,843 | 86 | transmission |
| 1042 | 01:26:20,258 | 01:26:22,843 | 86 | running |
| 1043 | 01:26:22,969 | 01:26:27,264 | 86 | drunken |
| 1043 | 01:26:22,969 | 01:26:27,264 | 86 | sailor |
| 1043 | 01:26:22,969 | 01:26:27,264 | 86 | mornin |
| 1044 | 01:26:27,473 | 01:26:30,017 | 86 | increase |
| 1044 | 01:26:27,473 | 01:26:30,017 | 86 | wind |
| 1045 | 01:26:32,437 | 01:26:34,897 | 86 | telling |
| 1045 | 01:26:32,437 | 01:26:34,897 | 86 | time |
| 1045 | 01:26:32,437 | 01:26:34,897 | 86 | close |
| 1046 | 01:26:34,981 | 01:26:36,398 | 86 | close |
| 1046 | 01:26:34,981 | 01:26:36,398 | 86 | capsize |
| 1046 | 01:26:34,981 | 01:26:36,398 | 86 | tip |
| 1047 | 01:26:36,482 | 01:26:39,359 | 86 | damn |
| 1047 | 01:26:36,482 | 01:26:39,359 | 86 | christof |
| 1047 | 01:26:36,482 | 01:26:39,359 | 86 | tied |
| 1047 | 01:26:36,482 | 01:26:39,359 | 86 | boat |
| 1048 | 01:26:39,444 | 01:26:40,444 | 86 | shut |
| 1049 | 01:26:40,528 | 01:26:42,321 | 86 | gonna |
| 1049 | 01:26:40,528 | 01:26:42,321 | 86 | drown |
| 1049 | 01:26:40,528 | 01:26:42,321 | 86 | care |
| 1053 | 01:31:51,589 | 01:31:53,131 | 91 | talk |
| 1054 | 01:32:12,109 | 01:32:13,318 | 92 | truman |
| 1055 | 01:32:15,112 | 01:32:16,404 | 92 | speak |
| 1056 | 01:32:18,491 | 01:32:19,783 | 92 | hear |
| 1058 | 01:32:25,581 | 01:32:28,124 | 92 | creator |
| 1058 | 01:32:25,581 | 01:32:28,124 | 92 | television |
| 1059 | 01:32:28,209 | 01:32:31,211 | 92 | hope |
| 1059 | 01:32:28,209 | 01:32:31,211 | 92 | joy |
| 1059 | 01:32:28,209 | 01:32:31,211 | 92 | inspiration |
| 1059 | 01:32:28,209 | 01:32:31,211 | 92 | millions |
| 1061 | 01:32:37,802 | 01:32:39,177 | 92 | star |
| 1062 | 01:32:45,268 | 01:32:46,643 | 92 | real |
| 1063 | 01:32:47,270 | 01:32:48,520 | 92 | real |
| 1064 | 01:32:49,981 | 01:32:52,274 | 92 | watch |
| 1065 | 01:32:52,984 | 01:32:54,526 | 92 | listen |
| 1065 | 01:32:52,984 | 01:32:54,526 | 92 | truman |
| 1066 | 01:32:54,652 | 01:32:56,820 | 92 | truth |
| 1067 | 01:32:57,905 | 01:33:00,532 | 92 | world |
| 1067 | 01:32:57,905 | 01:33:00,532 | 92 | created |
| 1068 | 01:33:02,493 | 01:33:04,035 | 93 | lies |
| 1069 | 01:33:05,746 | 01:33:07,080 | 93 | deceit |
| 1070 | 01:33:08,040 | 01:33:09,457 | 93 | world |
| 1071 | 01:33:11,294 | 01:33:13,003 | 93 | fear |
| 1073 | 01:33:19,010 | 01:33:21,136 | 93 | camera |
| 1073 | 01:33:19,010 | 01:33:21,136 | 93 | head |
| 1074 | 01:33:22,930 | 01:33:24,180 | 93 | afraid |
| 1075 | 01:33:25,474 | 01:33:27,267 | 93 | leave |
| 1076 | 01:33:31,939 | 01:33:33,356 | 93 | truman |
| 1077 | 01:33:34,483 | 01:33:35,734 | 93 | understand |
| 1078 | 01:33:37,528 | 01:33:40,030 | 93 | watching |
| 1078 | 01:33:37,528 | 01:33:40,030 | 93 | life |
| 1079 | 01:33:42,825 | 01:33:44,951 | 93 | watching |
| 1079 | 01:33:42,825 | 01:33:44,951 | 93 | born |
| 1080 | 01:33:47,371 | 01:33:49,914 | 93 | watching |
| 1080 | 01:33:47,371 | 01:33:49,914 | 93 | step |
| 1081 | 01:33:54,211 | 01:33:56,713 | 93 | watched |
| 1081 | 01:33:54,211 | 01:33:56,713 | 93 | day |
| 1081 | 01:33:54,211 | 01:33:56,713 | 93 | school |
| 1082 | 01:33:59,592 | 01:34:02,135 | 93 | episode |
| 1082 | 01:33:59,592 | 01:34:02,135 | 93 | lost |
| 1082 | 01:33:59,592 | 01:34:02,135 | 93 | tooth |
| 1083 | 01:34:06,599 | 01:34:08,308 | 94 | leave |
| 1083 | 01:34:06,599 | 01:34:08,308 | 94 | truman |
| 1084 | 01:34:09,935 | 01:34:11,353 | 94 | god |
| 1085 | 01:34:11,437 | 01:34:12,896 | 94 | belong |
| 1088 | 01:34:19,945 | 01:34:21,237 | 94 | talk |
| 1090 | 01:34:28,287 | 01:34:31,414 | 94 | god |
| 1090 | 01:34:28,287 | 01:34:31,414 | 94 | damn |
| 1090 | 01:34:28,287 | 01:34:31,414 | 94 | television |
| 1091 | 01:34:31,791 | 01:34:33,792 | 94 | live |
| 1091 | 01:34:31,791 | 01:34:33,792 | 94 | world |
| 1093 | 01:34:54,438 | 01:34:56,981 | 94 | afternoon |
| 1093 | 01:34:54,438 | 01:34:56,981 | 94 | evening |
| 1093 | 01:34:54,438 | 01:34:56,981 | 94 | night |
| 1094 | 01:35:00,194 | 01:35:01,236 | 95 | yeah |
| 1095 | 01:35:24,343 | 01:35:25,760 | 95 | yeah |
| 1096 | 01:35:35,479 | 01:35:38,523 | 95 | yeah |
| 1096 | 01:35:35,479 | 01:35:38,523 | 95 | truman |
| 1097 | 01:35:48,367 | 01:35:50,869 | 95 | cease |
| 1097 | 01:35:48,367 | 01:35:50,869 | 95 | transmission |
| 1097 | 01:35:48,367 | 01:35:50,869 | 95 | ceasing |
| 1097 | 01:35:48,367 | 01:35:50,869 | 95 | transmission |
| 1098 | 01:35:55,583 | 01:35:57,876 | 95 | slice |
| 1099 | 01:35:58,711 | 01:36:00,712 | 95 | tv |
| 1099 | 01:35:58,711 | 01:36:00,712 | 95 | guide |
詞頻分析
計算詞頻
# 計算詞彙的出現次數
tokens_count <- tokens %>%
group_by(word) %>%
summarise(sum = n()) %>%
arrange(desc(sum))
# 印出最常見的20個詞彙
kable(head(tokens_count,20)) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| word | sum |
|---|---|
| truman | 103 |
| yeah | 24 |
| fiji | 18 |
| morning | 17 |
| time | 17 |
| world | 16 |
| life | 15 |
| gonna | 12 |
| marlon | 12 |
| christof | 11 |
| dad | 10 |
| stop | 10 |
| call | 9 |
| day | 9 |
| god | 9 |
| leave | 9 |
| meryl | 9 |
| night | 9 |
| talk | 9 |
| talking | 9 |
文字雲
tokens_count %>%
filter(word != "truman") %>% ##truman出現次數過多，因此將它去除
wordcloud2()說明:
首先去除楚門詞彙，因為詞頻太高，導致其他文字呈現過小。
從文字雲看得出來，yeah因為是語助詞，所以詞頻高。
fiji(斐濟)是楚門喜歡的對象(sylvia)被迫搬去的地方，不時提到它，所以詞頻高。
marlon是楚門最好的朋友，因為與楚門關係密切，因此詞頻高
使用bing辭庫分析情緒
#使用bing辭庫得出正負面的單字，計算每分鐘的正面單字數-負面單字數
movie_sentiment <- tokens %>%
inner_join(get_sentiments("bing")) %>%#與bing inner join，得到各單字的情緒正負面
count(start_minute, sentiment) %>% #依據第幾分鐘分群，計算正負面各出現幾次
spread(sentiment, n, fill = 0) %>% #為了計算，將正負面情緒分別變成欄位，以便計算
mutate(sentiment = positive - negative) #產生欄位sentiment(情緒分數)，正面單字數-負面單字數
#計算情緒分數後的結果
kable(movie_sentiment) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| start_minute | negative | positive | sentiment |
|---|---|---|---|
| 0 | 4 | 1 | -3 |
| 1 | 4 | 4 | 0 |
| 2 | 3 | 2 | -1 |
| 3 | 3 | 0 | -3 |
| 4 | 0 | 6 | 6 |
| 5 | 1 | 2 | 1 |
| 7 | 2 | 0 | -2 |
| 8 | 0 | 1 | 1 |
| 9 | 1 | 3 | 2 |
| 10 | 3 | 1 | -2 |
| 11 | 1 | 1 | 0 |
| 13 | 1 | 0 | -1 |
| 14 | 0 | 2 | 2 |
| 15 | 1 | 0 | -1 |
| 16 | 5 | 2 | -3 |
| 17 | 1 | 0 | -1 |
| 18 | 1 | 0 | -1 |
| 19 | 1 | 0 | -1 |
| 20 | 4 | 2 | -2 |
| 22 | 1 | 0 | -1 |
| 23 | 1 | 1 | 0 |
| 25 | 0 | 1 | 1 |
| 26 | 2 | 1 | -1 |
| 27 | 7 | 0 | -7 |
| 28 | 1 | 0 | -1 |
| 29 | 1 | 1 | 0 |
| 30 | 3 | 3 | 0 |
| 32 | 0 | 3 | 3 |
| 33 | 1 | 0 | -1 |
| 34 | 3 | 0 | -3 |
| 35 | 2 | 1 | -1 |
| 36 | 0 | 2 | 2 |
| 37 | 0 | 3 | 3 |
| 38 | 4 | 8 | 4 |
| 39 | 2 | 2 | 0 |
| 40 | 3 | 1 | -2 |
| 41 | 0 | 2 | 2 |
| 42 | 0 | 5 | 5 |
| 46 | 3 | 0 | -3 |
| 47 | 1 | 2 | 1 |
| 48 | 1 | 3 | 2 |
| 49 | 3 | 1 | -2 |
| 50 | 1 | 2 | 1 |
| 51 | 5 | 1 | -4 |
| 53 | 1 | 1 | 0 |
| 54 | 3 | 0 | -3 |
| 55 | 2 | 1 | -1 |
| 56 | 2 | 1 | -1 |
| 57 | 2 | 2 | 0 |
| 59 | 0 | 1 | 1 |
| 60 | 2 | 7 | 5 |
| 61 | 1 | 2 | 1 |
| 62 | 2 | 1 | -1 |
| 63 | 5 | 1 | -4 |
| 64 | 5 | 2 | -3 |
| 65 | 3 | 2 | -1 |
| 66 | 4 | 2 | -2 |
| 67 | 6 | 1 | -5 |
| 68 | 5 | 8 | 3 |
| 70 | 1 | 0 | -1 |
| 71 | 0 | 3 | 3 |
| 72 | 4 | 1 | -3 |
| 73 | 0 | 1 | 1 |
| 74 | 5 | 1 | -4 |
| 75 | 1 | 1 | 0 |
| 76 | 2 | 0 | -2 |
| 77 | 0 | 1 | 1 |
| 78 | 1 | 1 | 0 |
| 79 | 3 | 1 | -2 |
| 80 | 5 | 0 | -5 |
| 81 | 2 | 0 | -2 |
| 82 | 0 | 2 | 2 |
| 84 | 1 | 0 | -1 |
| 85 | 1 | 0 | -1 |
| 86 | 5 | 0 | -5 |
| 92 | 0 | 2 | 2 |
| 93 | 5 | 0 | -5 |
| 94 | 1 | 0 | -1 |
依據電影第幾分鐘與情緒分數繪製長條圖
library(ggplot2)
movie_sentiment %>%
ggplot(aes(start_minute, sentiment)) + #x軸為第幾分鐘，y軸為情緒分數
geom_col(show.legend = FALSE) +
geom_col(fill = "#5599FF") +
labs(x="分鐘", y="情緒分數") +
geom_text(aes(label= ifelse(sentiment > 4 | sentiment < -4, start_minute, " ")))#標註情緒分數>4或是<-4的是第幾分鐘
說明:
在第4分鐘情緒分數高，因為楚門在上班路上聽廣播，廣播內容有許多正面文字
在第27分鐘情緒分數很低，因為楚門喜歡的對象sylvia被導演命令其他演員將她帶走，sylvia因而告訴楚門這個世界的真相，話語中有許多負面文字，像是“fake” “lie” “pretending”
在80分鐘之後，楚門謀劃逃出攝影棚，導演發現並要抓他回來，因此出現許多負面詞彙
列出情緒是正面或負面的詞彙，並且依據出現次數多到少排序
bing_word_counts <- tokens %>%
inner_join(get_sentiments("bing")) %>%
count(word, sentiment, sort = TRUE) %>% #依照單字與正負面情緒算出有多少個，並降序排列
ungroup()
#列出正負面詞彙與出現次數
kable(bing_word_counts) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| word | sentiment | n |
|---|---|---|
| fine | positive | 7 |
| love | positive | 7 |
| wrong | negative | 7 |
| beautiful | positive | 5 |
| excuse | negative | 5 |
| safe | positive | 5 |
| sick | negative | 5 |
| damn | negative | 4 |
| fake | negative | 4 |
| fancy | positive | 4 |
| ready | positive | 4 |
| worry | negative | 4 |
| afraid | negative | 3 |
| congratulations | positive | 3 |
| lie | negative | 3 |
| nice | positive | 3 |
| perfect | positive | 3 |
| pretty | positive | 3 |
| bad | negative | 2 |
| bravo | positive | 2 |
| brilliant | positive | 2 |
| buckle | negative | 2 |
| crazy | negative | 2 |
| crisis | negative | 2 |
| dangerous | negative | 2 |
| dead | negative | 2 |
| death | negative | 2 |
| dented | negative | 2 |
| die | negative | 2 |
| drunken | negative | 2 |
| favorite | positive | 2 |
| fell | negative | 2 |
| free | positive | 2 |
| gladly | positive | 2 |
| gross | negative | 2 |
| hell | negative | 2 |
| honor | positive | 2 |
| hurt | negative | 2 |
| kill | negative | 2 |
| leak | negative | 2 |
| lost | negative | 2 |
| lying | negative | 2 |
| missed | negative | 2 |
| shit | negative | 2 |
| spontaneous | positive | 2 |
| strange | negative | 2 |
| top | positive | 2 |
| unpredictable | negative | 2 |
| upset | negative | 2 |
| worth | positive | 2 |
| absence | negative | 1 |
| amazing | positive | 1 |
| angel | positive | 1 |
| anxious | negative | 1 |
| beautifully | positive | 1 |
| bitch | negative | 1 |
| blame | negative | 1 |
| bonus | positive | 1 |
| bored | negative | 1 |
| breach | negative | 1 |
| break | negative | 1 |
| breakdown | negative | 1 |
| breaking | negative | 1 |
| broke | negative | 1 |
| broken | negative | 1 |
| bum | negative | 1 |
| bust | negative | 1 |
| calm | positive | 1 |
| capsize | negative | 1 |
| cheating | negative | 1 |
| classic | positive | 1 |
| cold | negative | 1 |
| comfort | positive | 1 |
| cool | positive | 1 |
| correct | positive | 1 |
| dark | negative | 1 |
| darling | positive | 1 |
| deceit | negative | 1 |
| destroy | negative | 1 |
| disappointed | negative | 1 |
| disaster | negative | 1 |
| drowning | negative | 1 |
| eagerness | positive | 1 |
| easy | positive | 1 |
| effective | positive | 1 |
| enhance | positive | 1 |
| enjoy | positive | 1 |
| erase | negative | 1 |
| excitement | positive | 1 |
| exciting | positive | 1 |
| fall | negative | 1 |
| fast | positive | 1 |
| fear | negative | 1 |
| fragile | negative | 1 |
| frenzy | negative | 1 |
| funny | negative | 1 |
| fuss | negative | 1 |
| garbage | negative | 1 |
| generously | positive | 1 |
| genuine | positive | 1 |
| glow | positive | 1 |
| golden | positive | 1 |
| goodness | positive | 1 |
| guilty | negative | 1 |
| hang | negative | 1 |
| happy | positive | 1 |
| hard | negative | 1 |
| hate | negative | 1 |
| heaven | positive | 1 |
| helping | positive | 1 |
| hero | positive | 1 |
| hot | positive | 1 |
| imaginary | negative | 1 |
| insane | negative | 1 |
| inspiration | positive | 1 |
| interruption | negative | 1 |
| intricate | positive | 1 |
| isolate | negative | 1 |
| issues | negative | 1 |
| itchy | negative | 1 |
| jealously | negative | 1 |
| joy | positive | 1 |
| lead | positive | 1 |
| liar | negative | 1 |
| lies | negative | 1 |
| limitations | negative | 1 |
| lose | negative | 1 |
| loser | negative | 1 |
| losing | negative | 1 |
| lovely | positive | 1 |
| loves | positive | 1 |
| luck | positive | 1 |
| lucky | positive | 1 |
| magic | positive | 1 |
| melodramatically | negative | 1 |
| mockery | negative | 1 |
| nervous | negative | 1 |
| nicely | positive | 1 |
| noble | positive | 1 |
| obstruction | negative | 1 |
| overwhelmingly | negative | 1 |
| pain | negative | 1 |
| pan | negative | 1 |
| paradise | positive | 1 |
| perfectly | positive | 1 |
| phony | negative | 1 |
| pleasure | positive | 1 |
| poor | negative | 1 |
| positive | positive | 1 |
| praise | positive | 1 |
| prefers | positive | 1 |
| prisoner | negative | 1 |
| promise | positive | 1 |
| quiet | positive | 1 |
| redemption | positive | 1 |
| rip | negative | 1 |
| romantic | positive | 1 |
| rumor | negative | 1 |
| runaway | negative | 1 |
| sad | negative | 1 |
| sadness | negative | 1 |
| savings | positive | 1 |
| shock | negative | 1 |
| silly | negative | 1 |
| slow | negative | 1 |
| smoke | negative | 1 |
| splitting | negative | 1 |
| stole | negative | 1 |
| stolen | negative | 1 |
| stranger | negative | 1 |
| stuck | negative | 1 |
| sweetheart | positive | 1 |
| threatening | negative | 1 |
| tidy | positive | 1 |
| tired | negative | 1 |
| trash | negative | 1 |
| trouble | negative | 1 |
| unusual | negative | 1 |
| unwanted | negative | 1 |
| vague | negative | 1 |
| wasted | negative | 1 |
| win | positive | 1 |
| worried | negative | 1 |
| wow | positive | 1 |
繪製正面情緒與負面情緒詞彙出現次數前10名的長條圖
bing_word_counts %>%
group_by(sentiment) %>% #依照情緒分續各找出前10名的單字
top_n(10) %>%
ungroup() %>%
mutate(word = reorder(word, n)) %>% #單字依照n的大小排序
ggplot(aes(word, n, fill = sentiment)) +
geom_col(show.legend = FALSE) +
facet_wrap(~sentiment, scales = "free_y") +
labs(x="情緒字", y="出現次數") +
coord_flip()
製作正負面情緒的文字雲
tokens %>%
inner_join(get_sentiments("bing")) %>%
count(word, sentiment, sort = TRUE) %>%
acast(word ~ sentiment, value.var = "n", fill = 0) %>% #跟spread用法一樣，將正負面情緒變成欄位
comparison.cloud(colors = c("gray80", "gray20"),
scale=c(2.5,0.5), max.words = 100) #調整字的大小、單字數
列出正面與負面情緒詞彙出現次數前十是影片哪幾分鐘
正面詞彙
bing_minute_sentiment_counts <- tokens %>%
inner_join(get_sentiments("bing")) %>%
count(start_minute, sentiment, sort = TRUE)
##正面情緒詞彙出現次數前10是影片哪幾分鐘
top10_positive_minute <- bing_minute_sentiment_counts %>%
filter(sentiment == "positive") %>%
top_n(n = 10) %>%
arrange(desc(n))
#結果
kable(top10_positive_minute) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| start_minute | sentiment | n |
|---|---|---|
| 38 | positive | 8 |
| 68 | positive | 8 |
| 60 | positive | 7 |
| 4 | positive | 6 |
| 42 | positive | 5 |
| 1 | positive | 4 |
| 9 | positive | 3 |
| 30 | positive | 3 |
| 32 | positive | 3 |
| 37 | positive | 3 |
| 48 | positive | 3 |
| 71 | positive | 3 |
說明:
第38分鐘，正面詞彙很多，原因是楚門在看電視(歌頌小鎮生活)，電視說了許多正面詞彙
第68分鐘，正面詞彙很多，原因是導演希望楚門找到第二春
負面詞彙
##負面情緒前10出現次數是影片哪幾分鐘
top10_negative_minute <- bing_minute_sentiment_counts %>%
filter(sentiment == "negative") %>%
top_n(n = 10) %>%
arrange(desc(n))
#結果
kable(top10_negative_minute) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| start_minute | sentiment | n |
|---|---|---|
| 27 | negative | 7 |
| 67 | negative | 6 |
| 16 | negative | 5 |
| 51 | negative | 5 |
| 63 | negative | 5 |
| 64 | negative | 5 |
| 68 | negative | 5 |
| 74 | negative | 5 |
| 80 | negative | 5 |
| 86 | negative | 5 |
| 93 | negative | 5 |
說明:
第27分鐘，負面詞彙多，與上面一樣
第67分鐘，導演跟sylvia爭執，因為sylvia替楚門說話，因此出現許多負面詞彙
依照時間與正負面詞彙出現次數繪製線圖
bing_minute_sentiment_counts %>%
ggplot()+
geom_col(aes(x=start_minute,y=n,colour=sentiment, fill = sentiment))+
labs(x="分鐘", y="出現次數") 
sentimentr分析
Sentimentr 英文情緒分析-1:每分鐘每句的情緒加總
#senimentr分析
sentimentr_result <- sentiment(movie$text)
#結果
kable(sentimentr_result) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| element_id | sentence_id | word_count | sentiment |
|---|---|---|---|
| 1 | 1 | 10 | -0.3952847 |
| 2 | 1 | 7 | 0.0188982 |
| 3 | 1 | 10 | 0.2529822 |
| 4 | 1 | 6 | -0.3061862 |
| 5 | 1 | 5 | 0.0000000 |
| 6 | 1 | 7 | 0.4252100 |
| 7 | 1 | 3 | 0.0000000 |
| 8 | 1 | 6 | 0.0000000 |
| 9 | 1 | 9 | 0.0000000 |
| 10 | 1 | 3 | 0.0000000 |
| 11 | 1 | 12 | 0.0721688 |
| 12 | 1 | 11 | 0.1507557 |
| 13 | 1 | 5 | -0.3354102 |
| 14 | 1 | 14 | 0.0000000 |
| 15 | 1 | 9 | 0.0000000 |
| 16 | 1 | 6 | 0.0000000 |
| 17 | 1 | 4 | 0.3750000 |
| 17 | 2 | 2 | 0.0000000 |
| 18 | 1 | NA | 0.0000000 |
| 18 | 2 | 4 | 0.9000000 |
| 19 | 1 | 7 | 0.0000000 |
| 20 | 1 | 2 | 0.5656854 |
| 20 | 2 | 5 | 0.3354102 |
| 21 | 1 | 8 | -0.2651650 |
| 22 | 1 | 9 | 0.1333333 |
| 23 | 1 | 1 | -1.0000000 |
| 24 | 1 | 3 | 0.0000000 |
| 24 | 2 | 3 | 0.0000000 |
| 25 | 1 | 4 | -0.3750000 |
| 25 | 2 | 8 | -0.2651650 |
| 26 | 1 | 3 | 0.0000000 |
| 27 | 1 | 4 | -0.0750000 |
| 27 | 2 | 3 | 0.0000000 |
| 28 | 1 | 5 | 0.3354102 |
| 29 | 1 | 4 | 0.3750000 |
| 29 | 2 | 1 | 0.0000000 |
| 29 | 3 | 2 | 0.0000000 |
| 30 | 1 | 1 | 0.0000000 |
| 30 | 2 | 5 | -0.1118034 |
| 31 | 1 | 1 | 0.0000000 |
| 32 | 1 | 2 | 0.5303301 |
| 32 | 2 | 1 | 0.0000000 |
| 33 | 1 | 2 | 0.5303301 |
| 34 | 1 | 13 | 0.6240377 |
| 35 | 1 | 1 | 0.0000000 |
| 36 | 1 | 2 | 0.0000000 |
| 36 | 2 | 2 | 0.0000000 |
| 37 | 1 | 2 | 0.0000000 |
| 37 | 2 | 3 | 0.0000000 |
| 38 | 1 | 4 | 0.3750000 |
| 38 | 2 | 2 | 0.0000000 |
| 39 | 1 | 2 | 0.0000000 |
| 40 | 1 | 3 | 0.0000000 |
| 40 | 2 | 3 | 0.0000000 |
| 41 | 1 | 3 | 0.0000000 |
| 42 | 1 | 6 | 0.0000000 |
| 42 | 2 | 7 | -0.1889822 |
| 43 | 1 | 10 | 0.0000000 |
| 44 | 1 | 5 | 0.5590170 |
| 45 | 1 | 7 | 0.0000000 |
| 46 | 1 | 2 | 0.5303301 |
| 46 | 2 | 5 | 0.0447214 |
| 47 | 1 | 1 | 0.0000000 |
| 47 | 2 | 1 | 0.0000000 |
| 47 | 3 | 1 | 0.7500000 |
| 48 | 1 | 7 | 0.4535574 |
| 49 | 1 | 10 | 0.1581139 |
| 50 | 1 | 9 | 0.4500000 |
| 51 | 1 | 3 | 0.8660254 |
| 51 | 2 | 2 | 0.3535534 |
| 52 | 1 | 4 | 0.4500000 |
| 52 | 2 | 4 | 0.4500000 |
| 53 | 1 | 8 | 0.0000000 |
| 54 | 1 | 7 | 0.0000000 |
| 55 | 1 | 4 | 0.5000000 |
| 56 | 1 | 7 | 0.0000000 |
| 57 | 1 | 6 | 0.0000000 |
| 57 | 2 | 3 | 0.0000000 |
| 58 | 1 | 1 | 0.0000000 |
| 58 | 2 | 1 | 0.0000000 |
| 59 | 1 | 2 | 0.5303301 |
| 60 | 1 | 1 | 0.0000000 |
| 60 | 2 | 2 | 0.0000000 |
| 61 | 1 | 3 | 0.4330127 |
| 61 | 2 | 4 | 0.0000000 |
| 62 | 1 | 4 | 0.3750000 |
| 62 | 2 | 1 | 0.0000000 |
| 63 | 1 | 5 | 0.3354102 |
| 64 | 1 | 1 | 0.7500000 |
| 64 | 2 | 3 | 0.0000000 |
| 65 | 1 | 3 | -0.4618802 |
| 65 | 2 | 1 | 0.2500000 |
| 66 | 1 | 5 | 0.2236068 |
| 66 | 2 | 2 | 0.0000000 |
| 67 | 1 | 4 | 0.0000000 |
| 68 | 1 | 4 | 0.0000000 |
| 68 | 2 | 5 | 0.0000000 |
| 68 | 3 | 4 | 0.5000000 |
| 69 | 1 | 3 | 0.4618802 |
| 69 | 2 | 1 | 0.8000000 |
| 70 | 1 | 1 | 0.0000000 |
| 71 | 1 | 2 | 0.0000000 |
| 71 | 2 | 3 | 0.0000000 |
| 71 | 3 | 2 | 0.5656854 |
| 72 | 1 | 2 | 0.5656854 |
| 72 | 2 | 4 | 0.5000000 |
| 73 | 1 | 7 | 0.2834734 |
| 74 | 1 | 2 | 0.5656854 |
| 75 | 1 | 8 | 0.6363961 |
| 75 | 2 | 2 | 0.0000000 |
| 76 | 1 | 5 | 0.0000000 |
| 77 | 1 | 3 | -0.2886751 |
| 78 | 1 | 8 | -0.3535534 |
| 79 | 1 | 1 | 0.0000000 |
| 79 | 2 | 1 | 0.8000000 |
| 79 | 3 | 2 | 0.7071068 |
| 80 | 1 | 8 | 0.0000000 |
| 81 | 1 | 2 | 0.0000000 |
| 82 | 1 | 1 | 0.0000000 |
| 82 | 2 | 6 | 0.0000000 |
| 83 | 1 | 3 | 0.0000000 |
| 84 | 1 | 1 | 0.0000000 |
| 85 | 1 | 1 | 0.0000000 |
| 85 | 2 | 2 | 0.3535534 |
| 86 | 1 | 1 | 0.0000000 |
| 86 | 2 | 2 | 0.0000000 |
| 87 | 1 | 11 | 0.1809068 |
| 88 | 1 | 2 | 0.0000000 |
| 89 | 1 | 3 | 0.0000000 |
| 89 | 2 | 4 | 0.0000000 |
| 90 | 1 | 4 | 0.0000000 |
| 90 | 2 | 4 | 0.0000000 |
| 90 | 3 | 1 | 0.0000000 |
| 91 | 1 | 16 | -0.0625000 |
| 92 | 1 | 2 | 0.0000000 |
| 93 | 1 | 9 | 0.0000000 |
| 94 | 1 | 1 | 0.0000000 |
| 94 | 2 | 1 | 0.0000000 |
| 94 | 3 | 4 | 0.0000000 |
| 95 | 1 | 14 | 0.0400892 |
| 96 | 1 | 1 | 0.6000000 |
| 97 | 1 | 1 | 0.0000000 |
| 98 | 1 | 3 | 0.0000000 |
| 98 | 2 | 6 | -0.2041241 |
| 99 | 1 | 3 | 0.0000000 |
| 100 | 1 | 1 | 0.0000000 |
| 101 | 1 | 4 | 0.1250000 |
| 102 | 1 | 6 | 0.1020621 |
| 102 | 2 | 3 | 0.4618802 |
| 102 | 3 | 3 | 0.1443376 |
| 103 | 1 | 1 | 0.0000000 |
| 104 | 1 | 2 | 0.4242641 |
| 105 | 1 | 8 | 0.1767767 |
| 106 | 1 | 4 | 0.0000000 |
| 106 | 2 | 8 | 0.0000000 |
| 107 | 1 | 4 | 0.0000000 |
| 108 | 1 | 1 | 0.5000000 |
| 109 | 1 | 2 | 0.3535534 |
| 110 | 1 | 1 | 0.0000000 |
| 111 | 1 | 4 | -0.2500000 |
| 112 | 1 | 4 | 0.0000000 |
| 113 | 1 | 8 | 0.0000000 |
| 114 | 1 | 1 | 0.0000000 |
| 114 | 2 | 3 | 0.0000000 |
| 115 | 1 | 7 | 0.0000000 |
| 116 | 1 | 3 | 0.0000000 |
| 116 | 2 | 1 | 0.0000000 |
| 116 | 3 | 4 | 0.0000000 |
| 117 | 1 | 7 | -0.2834734 |
| 117 | 2 | 6 | 0.2041241 |
| 118 | 1 | 5 | 0.0000000 |
| 118 | 2 | 6 | -0.3061862 |
| 119 | 1 | 3 | 0.0000000 |
| 120 | 1 | 9 | 0.0000000 |
| 121 | 1 | 2 | 0.4242641 |
| 121 | 2 | 3 | 0.5773503 |
| 122 | 1 | 5 | 0.3577709 |
| 122 | 2 | 2 | -0.3535534 |
| 123 | 1 | 4 | 0.0000000 |
| 124 | 1 | 1 | 0.0000000 |
| 125 | 1 | 4 | 0.0000000 |
| 125 | 2 | 2 | 0.0000000 |
| 126 | 1 | 2 | 0.0000000 |
| 126 | 2 | 1 | 0.0000000 |
| 127 | 1 | 3 | 0.0000000 |
| 128 | 1 | 6 | 0.0000000 |
| 129 | 1 | 1 | 0.0000000 |
| 130 | 1 | 11 | 0.0000000 |
| 131 | 1 | 8 | 0.0000000 |
| 132 | 1 | 8 | 0.0000000 |
| 133 | 1 | 7 | 0.0000000 |
| 134 | 1 | 4 | 0.0000000 |
| 135 | 1 | 3 | 0.3464102 |
| 136 | 1 | 1 | 0.2500000 |
| 137 | 1 | 6 | 0.0000000 |
| 138 | 1 | 1 | 0.8000000 |
| 139 | 1 | 5 | 0.0000000 |
| 139 | 2 | 4 | 0.3750000 |
| 140 | 1 | 7 | 0.1889822 |
| 141 | 1 | 5 | 0.0000000 |
| 141 | 2 | 4 | 0.0000000 |
| 142 | 1 | 9 | -0.1666667 |
| 142 | 2 | 6 | 0.0000000 |
| 143 | 1 | 2 | 0.0000000 |
| 143 | 2 | 2 | 0.0000000 |
| 143 | 3 | 3 | 0.0000000 |
| 143 | 4 | 4 | 0.0000000 |
| 144 | 1 | 4 | 0.5000000 |
| 144 | 2 | 2 | 0.0000000 |
| 145 | 1 | 1 | 0.0000000 |
| 145 | 2 | 1 | 0.8000000 |
| 146 | 1 | 1 | 0.0000000 |
| 147 | 1 | 2 | 0.0000000 |
| 147 | 2 | 4 | 0.0000000 |
| 148 | 1 | 6 | -0.1020621 |
| 149 | 1 | 7 | 0.0000000 |
| 150 | 1 | 11 | -0.1507557 |
| 151 | 1 | 4 | 0.0000000 |
| 151 | 2 | 8 | 0.0000000 |
| 152 | 1 | 5 | 0.2236068 |
| 152 | 2 | 6 | 0.2041241 |
| 153 | 1 | 5 | -0.1788854 |
| 154 | 1 | 4 | 0.0000000 |
| 155 | 1 | 11 | 0.0000000 |
| 156 | 1 | 5 | -0.2459675 |
| 157 | 1 | 10 | 0.1897367 |
| 157 | 2 | 6 | -0.1020621 |
| 158 | 1 | 3 | -0.1443376 |
| 158 | 2 | 5 | 0.0000000 |
| 159 | 1 | 6 | 0.0000000 |
| 160 | 1 | 7 | 0.4535574 |
| 161 | 1 | 2 | 0.0000000 |
| 162 | 1 | 8 | 0.1767767 |
| 163 | 1 | 8 | 0.0000000 |
| 164 | 1 | 3 | 0.0000000 |
| 165 | 1 | 5 | 0.0000000 |
| 165 | 2 | 2 | 0.0000000 |
| 166 | 1 | 7 | 0.2267787 |
| 167 | 1 | 10 | 0.0000000 |
| 168 | 1 | 5 | 0.0000000 |
| 169 | 1 | 3 | 0.8660254 |
| 169 | 2 | 2 | 0.3535534 |
| 170 | 1 | 2 | 0.3535534 |
| 171 | 1 | 3 | 0.5773503 |
| 171 | 2 | 1 | 0.0000000 |
| 172 | 1 | 13 | 0.2218801 |
| 173 | 1 | 3 | 0.0000000 |
| 173 | 2 | 5 | 0.0000000 |
| 174 | 1 | 3 | 0.0000000 |
| 174 | 2 | 6 | 0.0000000 |
| 175 | 1 | 3 | 0.0000000 |
| 175 | 2 | 1 | 0.0000000 |
| 176 | 1 | 1 | 0.0000000 |
| 177 | 1 | 4 | 0.0000000 |
| 178 | 1 | 2 | 0.0000000 |
| 178 | 2 | 5 | 0.0000000 |
| 179 | 1 | 2 | -0.2828427 |
| 180 | 1 | 3 | -0.2309401 |
| 181 | 1 | 3 | 0.0000000 |
| 181 | 2 | 4 | -0.2000000 |
| 182 | 1 | 3 | -0.2309401 |
| 182 | 2 | 3 | -0.2309401 |
| 183 | 1 | 4 | -0.2000000 |
| 184 | 1 | 4 | -0.4000000 |
| 185 | 1 | 7 | 0.2834734 |
| 186 | 1 | 9 | 0.0000000 |
| 187 | 1 | 11 | 0.1356801 |
| 188 | 1 | 3 | 0.0000000 |
| 188 | 2 | 2 | -0.0707107 |
| 188 | 3 | 5 | -0.2236068 |
| 189 | 1 | 7 | -0.1889822 |
| 190 | 1 | 9 | 0.0000000 |
| 191 | 1 | 10 | -0.1581139 |
| 192 | 1 | 9 | -0.1666667 |
| 193 | 1 | 10 | 0.1581139 |
| 194 | 1 | 5 | -0.2683282 |
| 194 | 2 | 2 | 0.0000000 |
| 195 | 1 | 1 | 0.0000000 |
| 196 | 1 | 11 | 0.0753778 |
| 197 | 1 | 5 | 0.1788854 |
| 197 | 2 | 5 | 0.5813777 |
| 198 | 1 | 10 | 0.1960612 |
| 199 | 1 | 2 | 0.7071068 |
| 200 | 1 | 8 | -0.1767767 |
| 201 | 1 | 6 | -0.1020621 |
| 202 | 1 | 6 | 0.4592793 |
| 203 | 1 | 6 | 0.3061862 |
| 204 | 1 | 1 | 0.0000000 |
| 205 | 1 | 6 | 0.0000000 |
| 206 | 1 | 3 | 0.0000000 |
| 207 | 1 | 4 | 0.0000000 |
| 207 | 2 | 2 | 0.0000000 |
| 208 | 1 | 3 | 0.0000000 |
| 209 | 1 | 7 | 0.0188982 |
| 210 | 1 | 3 | 0.0000000 |
| 210 | 2 | 4 | 0.0000000 |
| 211 | 1 | 3 | 0.0000000 |
| 212 | 1 | 3 | 0.1443376 |
| 213 | 1 | 10 | 0.0000000 |
| 214 | 1 | 7 | 0.3023716 |
| 215 | 1 | 3 | 0.0000000 |
| 216 | 1 | 12 | 0.3247595 |
| 217 | 1 | 4 | 0.0000000 |
| 218 | 1 | 2 | 0.0000000 |
| 218 | 2 | 3 | 0.4618802 |
| 218 | 3 | 2 | -0.5303301 |
| 218 | 4 | 1 | 0.0000000 |
| 219 | 1 | 1 | 0.0000000 |
| 219 | 2 | 9 | -0.1666667 |
| 220 | 1 | 2 | 0.0000000 |
| 220 | 2 | 8 | 0.0000000 |
| 221 | 1 | 3 | 0.4618802 |
| 222 | 1 | 3 | 0.0000000 |
| 222 | 2 | 3 | 0.5773503 |
| 222 | 3 | 3 | -0.2886751 |
| 223 | 1 | 9 | -0.0833333 |
| 223 | 2 | 3 | 0.4618802 |
| 223 | 3 | 4 | 0.3750000 |
| 224 | 1 | 2 | 0.0000000 |
| 224 | 2 | 3 | 0.0000000 |
| 225 | 1 | 5 | 0.2236068 |
| 226 | 1 | 4 | -0.1250000 |
| 226 | 2 | 1 | 0.0000000 |
| 226 | 3 | 7 | -0.0944911 |
| 227 | 1 | 6 | 0.0000000 |
| 228 | 1 | 2 | 0.0000000 |
| 229 | 1 | 11 | 0.0753778 |
| 230 | 1 | 7 | 0.3023716 |
| 231 | 1 | 3 | 0.0000000 |
| 231 | 2 | 1 | 0.0000000 |
| 232 | 1 | 1 | 0.0000000 |
| 232 | 2 | 1 | 0.0000000 |
| 233 | 1 | 4 | -0.2500000 |
| 234 | 1 | 1 | 0.0000000 |
| 235 | 1 | 1 | 0.0000000 |
| 235 | 2 | 1 | 0.0000000 |
| 236 | 1 | 3 | 0.0000000 |
| 237 | 1 | 1 | 0.8000000 |
| 238 | 1 | 2 | 0.5656854 |
| 239 | 1 | 3 | 0.0000000 |
| 240 | 1 | 1 | 0.0000000 |
| 240 | 2 | 1 | 0.8000000 |
| 241 | 1 | 3 | 0.0000000 |
| 242 | 1 | 3 | 0.0000000 |
| 243 | 1 | 10 | -0.1264911 |
| 244 | 1 | 1 | 0.0000000 |
| 245 | 1 | 1 | 0.0000000 |
| 245 | 2 | 4 | 0.5000000 |
| 245 | 3 | 5 | 0.1118034 |
| 246 | 1 | 2 | -0.3535534 |
| 246 | 2 | 5 | 0.0000000 |
| 247 | 1 | 6 | 0.1020621 |
| 248 | 1 | 5 | 0.3577709 |
| 248 | 2 | 4 | 0.0000000 |
| 249 | 1 | 9 | 0.0000000 |
| 249 | 2 | 2 | 0.0000000 |
| 249 | 3 | 2 | 0.0000000 |
| 250 | 1 | 3 | 0.0000000 |
| 251 | 1 | 4 | 0.2500000 |
| 251 | 2 | 4 | 0.0000000 |
| 252 | 1 | 3 | 0.0000000 |
| 253 | 1 | 1 | 0.0000000 |
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| 255 | 1 | 5 | 0.0000000 |
| 256 | 1 | 6 | 0.0000000 |
| 257 | 1 | 8 | 0.0000000 |
| 258 | 1 | 2 | 0.3535534 |
| 259 | 1 | 1 | 0.0000000 |
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| 260 | 1 | 3 | 0.0000000 |
| 261 | 1 | 4 | 0.0000000 |
| 261 | 2 | 3 | 0.0000000 |
| 262 | 1 | 8 | 0.0000000 |
| 263 | 1 | 3 | 0.5773503 |
| 263 | 2 | 7 | 0.0000000 |
| 264 | 1 | 7 | 0.3779645 |
| 265 | 1 | 6 | 0.3061862 |
| 266 | 1 | 1 | 0.0000000 |
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| 268 | 1 | 5 | 0.0000000 |
| 268 | 2 | 7 | 0.0000000 |
| 269 | 1 | 2 | 0.0000000 |
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| 271 | 1 | 2 | 0.0000000 |
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| 273 | 1 | 3 | 0.0000000 |
| 273 | 2 | 4 | 0.0000000 |
| 274 | 1 | 5 | 0.0000000 |
| 275 | 1 | 3 | -0.1443376 |
| 275 | 2 | 3 | 0.5773503 |
| 276 | 1 | 2 | -0.1767767 |
| 276 | 2 | 3 | 0.0000000 |
| 277 | 1 | 5 | 0.0000000 |
| 277 | 2 | 2 | 0.0000000 |
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| 278 | 2 | 1 | 0.0000000 |
| 279 | 1 | 1 | 0.0000000 |
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| 280 | 1 | 3 | -0.1443376 |
| 280 | 2 | 3 | 0.0000000 |
| 280 | 3 | 3 | 0.0000000 |
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| 281 | 2 | 4 | 0.0000000 |
| 282 | 1 | 2 | -0.3535534 |
| 282 | 2 | 6 | -0.4082483 |
| 283 | 1 | 7 | 0.3779645 |
| 283 | 2 | 3 | -0.4330127 |
| 283 | 3 | 4 | 0.0000000 |
| 284 | 1 | 3 | -0.5773503 |
| 284 | 2 | 8 | 0.0000000 |
| 285 | 1 | 3 | 0.0000000 |
| 286 | 1 | 3 | 0.0000000 |
| 286 | 2 | 5 | -0.4472136 |
| 287 | 1 | 6 | -0.2041241 |
| 287 | 2 | 4 | 0.0000000 |
| 288 | 1 | 7 | 0.0000000 |
| 288 | 2 | 1 | -0.8000000 |
| 288 | 3 | 3 | 0.0000000 |
| 289 | 1 | 3 | 0.0000000 |
| 290 | 1 | 3 | -0.4330127 |
| 290 | 2 | 2 | 0.5303301 |
| 291 | 1 | 1 | 0.0000000 |
| 291 | 2 | 4 | 0.0000000 |
| 292 | 1 | 4 | 0.0000000 |
| 292 | 2 | 7 | 0.0000000 |
| 293 | 1 | 3 | 0.0000000 |
| 293 | 2 | 3 | -0.2886751 |
| 294 | 1 | 4 | 0.0000000 |
| 294 | 2 | 4 | 0.0000000 |
| 294 | 3 | 2 | 0.5303301 |
| 295 | 1 | 4 | 0.0000000 |
| 295 | 2 | 1 | 0.0000000 |
| 295 | 3 | 4 | 0.0000000 |
| 296 | 1 | 1 | 0.0000000 |
| 297 | 1 | 1 | 0.0000000 |
| 298 | 1 | 1 | 0.0000000 |
| 299 | 1 | 8 | 0.0000000 |
| 300 | 1 | 6 | -0.8573214 |
| 300 | 2 | 4 | 0.1250000 |
| 300 | 3 | 2 | 0.3535534 |
| 301 | 1 | 4 | 0.2500000 |
| 302 | 1 | 9 | 0.0000000 |
| 303 | 1 | 2 | -0.5303301 |
| 304 | 1 | 3 | 0.0000000 |
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| 306 | 1 | 4 | 0.0000000 |
| 307 | 1 | 4 | 0.0000000 |
| 308 | 1 | 8 | 0.1767767 |
| 309 | 1 | 10 | 1.0672687 |
| 310 | 1 | 4 | 0.3750000 |
| 311 | 1 | NA | 0.0000000 |
| 311 | 2 | 4 | -0.1250000 |
| 312 | 1 | 3 | 0.0000000 |
| 313 | 1 | 3 | 0.0000000 |
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| 319 | 1 | 2 | -0.5303301 |
| 319 | 2 | 2 | 0.0000000 |
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| 322 | 1 | 9 | -0.2500000 |
| 323 | 1 | 7 | 0.2267787 |
| 324 | 1 | 9 | 0.6333333 |
| 325 | 1 | 6 | 1.3778380 |
| 326 | 1 | 2 | 0.5656854 |
| 326 | 2 | 7 | 0.5669467 |
| 327 | 1 | 5 | 0.3354102 |
| 327 | 2 | 1 | 0.8000000 |
| 328 | 1 | 2 | 0.0000000 |
| 329 | 1 | 4 | 0.3750000 |
| 329 | 2 | 5 | 0.6708204 |
| 330 | 1 | 3 | 0.0000000 |
| 331 | 1 | 1 | 0.0000000 |
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| 333 | 1 | 2 | 0.0000000 |
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| 334 | 3 | 2 | 0.0000000 |
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| 339 | 1 | 1 | 0.0000000 |
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| 341 | 1 | 5 | -0.3354102 |
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| 347 | 1 | 5 | 0.0000000 |
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| 350 | 1 | 6 | 0.0000000 |
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| 352 | 1 | 7 | 0.0000000 |
| 353 | 1 | 2 | 0.0000000 |
| 353 | 2 | 4 | 0.2500000 |
| 354 | 1 | 1 | 0.0000000 |
| 354 | 2 | 6 | 0.0000000 |
| 354 | 3 | 4 | 0.0000000 |
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| 356 | 1 | 4 | -0.1250000 |
| 356 | 2 | 6 | 0.2041241 |
| 357 | 1 | 4 | 0.0000000 |
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| 357 | 3 | 2 | 0.0000000 |
| 358 | 1 | 5 | -0.2236068 |
| 358 | 2 | 4 | 0.0000000 |
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| 360 | 2 | 4 | 0.4000000 |
| 361 | 1 | 1 | 0.0000000 |
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| 363 | 1 | 11 | -0.3316625 |
| 364 | 1 | 5 | 0.0000000 |
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| 367 | 1 | 7 | 0.0003024 |
| 368 | 1 | 7 | -0.3779645 |
| 369 | 1 | 6 | 0.0000000 |
| 370 | 1 | 9 | 0.2000000 |
| 371 | 1 | 1 | 0.0000000 |
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| 375 | 2 | 2 | 0.5303301 |
| 376 | 1 | 1 | 0.0000000 |
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| 380 | 1 | 6 | 0.0000000 |
| 381 | 1 | 1 | 0.0000000 |
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| 386 | 1 | 7 | 0.0000000 |
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| 399 | 1 | 8 | 0.0000000 |
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| 400 | 2 | 1 | 0.0000000 |
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| 401 | 2 | 7 | 0.2834734 |
| 402 | 1 | 2 | 0.0000000 |
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| 404 | 1 | 4 | 0.7200000 |
| 404 | 2 | 2 | 0.0000000 |
| 405 | 1 | 12 | 0.2165064 |
| 406 | 1 | 8 | 0.8485281 |
| 407 | 1 | 7 | 0.4346591 |
| 408 | 1 | 7 | 0.0000000 |
| 409 | 1 | 7 | 0.2834734 |
| 410 | 1 | 10 | 0.3320392 |
| 411 | 1 | 16 | 0.1250000 |
| 412 | 1 | 11 | 0.2600535 |
| 413 | 1 | 10 | 0.1581139 |
| 414 | 1 | 10 | 0.1264911 |
| 415 | 1 | 12 | 0.0000000 |
| 416 | 1 | 8 | 0.1060660 |
| 417 | 1 | 11 | -0.2412091 |
| 418 | 1 | 4 | -0.2812500 |
| 418 | 2 | 7 | 0.0944911 |
| 419 | 1 | 3 | 0.8660254 |
| 420 | 1 | 10 | 0.1264911 |
| 421 | 1 | 8 | 0.3491340 |
| 421 | 2 | 3 | 0.0000000 |
| 422 | 1 | 1 | 0.0000000 |
| 423 | 1 | 6 | -0.4082483 |
| 423 | 2 | 7 | 0.0000000 |
| 424 | 1 | 4 | 0.0000000 |
| 425 | 1 | 7 | -0.3023716 |
| 426 | 1 | 3 | 0.0000000 |
| 426 | 2 | 2 | 0.0000000 |
| 427 | 1 | 10 | 0.3636619 |
| 428 | 1 | 9 | 0.0000000 |
| 429 | 1 | 6 | -0.3061862 |
| 430 | 1 | 11 | 0.1206045 |
| 431 | 1 | 5 | 0.0000000 |
| 431 | 2 | 3 | 0.4156922 |
| 431 | 3 | 3 | -0.5196152 |
| 432 | 1 | 4 | 0.7750000 |
| 432 | 2 | 6 | 0.0000000 |
| 433 | 1 | 2 | -0.5303301 |
| 433 | 2 | 1 | 0.0000000 |
| 433 | 3 | 2 | -0.5303301 |
| 433 | 4 | 4 | 0.0000000 |
| 434 | 1 | 1 | 0.8000000 |
| 434 | 2 | 7 | -0.0944911 |
| 434 | 3 | 3 | 0.7794229 |
| 435 | 1 | 6 | -0.3061862 |
| 435 | 2 | 3 | 0.0000000 |
| 436 | 1 | 1 | 0.0000000 |
| 436 | 2 | 2 | 0.1767767 |
| 437 | 1 | 6 | 0.0000000 |
| 437 | 2 | 2 | 0.0000000 |
| 438 | 1 | 19 | 0.0000000 |
| 439 | 1 | 5 | 0.0000000 |
| 439 | 2 | 3 | 0.0000000 |
| 440 | 1 | 1 | 0.2500000 |
| 440 | 2 | 3 | 0.0000000 |
| 440 | 3 | 4 | 0.2500000 |
| 441 | 1 | 1 | -0.5000000 |
| 441 | 2 | 2 | 0.0000000 |
| 442 | 1 | 7 | 0.0000000 |
| 443 | 1 | 2 | 0.0000000 |
| 444 | 1 | 2 | 0.0000000 |
| 445 | 1 | 1 | -0.2500000 |
| 446 | 1 | 6 | 0.2449490 |
| 447 | 1 | 5 | 0.3577709 |
| 448 | 1 | 2 | 0.0000000 |
| 449 | 1 | 2 | 0.7071068 |
| 450 | 1 | 6 | -0.3061862 |
| 450 | 2 | 3 | 0.0000000 |
| 451 | 1 | 3 | 0.4330127 |
| 451 | 2 | 2 | 0.5303301 |
| 452 | 1 | 8 | 0.2828427 |
| 453 | 1 | 5 | -0.2236068 |
| 453 | 2 | 2 | 0.0000000 |
| 454 | 1 | 4 | 0.0000000 |
| 454 | 2 | 9 | 0.1666667 |
| 455 | 1 | 6 | 0.1020621 |
| 456 | 1 | 1 | 0.0000000 |
| 457 | 1 | 2 | -0.3535534 |
| 457 | 2 | 9 | 0.0000000 |
| 458 | 1 | 2 | 0.0000000 |
| 458 | 2 | 4 | 0.0000000 |
| 459 | 1 | 6 | 0.0000000 |
| 460 | 1 | 3 | 0.0000000 |
| 460 | 2 | 5 | 0.0000000 |
| 461 | 1 | 4 | 0.0000000 |
| 462 | 1 | 2 | 0.1767767 |
| 463 | 1 | 2 | 0.3535534 |
| 464 | 1 | 5 | 0.0000000 |
| 465 | 1 | 1 | 0.0000000 |
| 465 | 2 | 1 | 0.0000000 |
| 466 | 1 | 1 | 0.0000000 |
| 466 | 2 | 1 | 0.0000000 |
| 467 | 1 | 1 | 0.0000000 |
| 468 | 1 | 3 | 0.0000000 |
| 468 | 2 | 3 | 0.0000000 |
| 469 | 1 | 2 | 0.0000000 |
| 469 | 2 | 4 | -0.3750000 |
| 470 | 1 | 3 | -0.2886751 |
| 471 | 1 | 7 | 0.0000000 |
| 472 | 1 | 1 | 0.0000000 |
| 472 | 2 | 5 | 0.0000000 |
| 472 | 3 | 6 | 0.0000000 |
| 473 | 1 | 9 | 0.0000000 |
| 474 | 1 | 5 | 0.0000000 |
| 474 | 2 | 4 | 0.0000000 |
| 475 | 1 | 8 | 0.0000000 |
| 476 | 1 | 1 | 0.0000000 |
| 477 | 1 | 4 | 0.3000000 |
| 477 | 2 | 2 | 0.0000000 |
| 478 | 1 | 1 | 0.0000000 |
| 479 | 1 | 1 | 0.0000000 |
| 480 | 1 | 1 | 0.0000000 |
| 481 | 1 | 7 | 0.0000000 |
| 482 | 1 | 15 | 0.0000000 |
| 483 | 1 | 8 | -0.2121320 |
| 484 | 1 | 2 | 0.7071068 |
| 484 | 2 | 1 | 0.0000000 |
| 485 | 1 | 1 | 0.0000000 |
| 486 | 1 | 1 | 0.0000000 |
| 487 | 1 | 1 | 0.0000000 |
| 488 | 1 | 4 | -0.1250000 |
| 488 | 2 | 3 | 0.0000000 |
| 489 | 1 | 4 | -0.3000000 |
| 489 | 2 | 1 | 0.8000000 |
| 490 | 1 | 9 | 0.0000000 |
| 490 | 2 | 3 | 0.0000000 |
| 491 | 1 | 4 | 0.0000000 |
| 491 | 2 | 5 | -0.1788854 |
| 492 | 1 | 3 | 0.0000000 |
| 492 | 2 | 4 | 0.0000000 |
| 492 | 3 | 6 | 0.0000000 |
| 493 | 1 | 3 | 0.0000000 |
| 494 | 1 | 10 | 0.0000000 |
| 495 | 1 | 6 | 0.0000000 |
| 495 | 2 | 5 | 0.0000000 |
| 496 | 1 | 10 | 0.0000000 |
| 497 | 1 | 8 | 0.0000000 |
| 498 | 1 | 9 | -0.2500000 |
| 498 | 2 | 3 | 0.0000000 |
| 499 | 1 | 2 | 0.0000000 |
| 500 | 1 | 12 | 0.0288675 |
| 501 | 1 | 1 | 0.0000000 |
| 501 | 2 | 4 | 0.3750000 |
| 502 | 1 | 7 | 0.0000000 |
| 503 | 1 | 3 | 0.0000000 |
| 504 | 1 | 5 | 0.3577709 |
| 504 | 2 | 2 | -0.1767767 |
| 504 | 3 | 5 | 0.0000000 |
| 505 | 1 | 6 | 0.2245366 |
| 506 | 1 | 5 | 0.0000000 |
| 507 | 1 | 1 | 0.0000000 |
| 508 | 1 | 4 | 0.0000000 |
| 509 | 1 | 5 | 0.0000000 |
| 509 | 2 | 4 | 0.0000000 |
| 510 | 1 | 5 | 0.2236068 |
| 511 | 1 | 3 | 0.0000000 |
| 511 | 2 | 3 | 0.2886751 |
| 512 | 1 | 2 | -0.3535534 |
| 513 | 1 | 8 | -0.0565685 |
| 513 | 2 | 1 | 0.0000000 |
| 514 | 1 | 4 | 0.0000000 |
| 514 | 2 | 5 | -0.4472136 |
| 515 | 1 | 6 | 0.3265986 |
| 515 | 2 | 8 | 0.0000000 |
| 516 | 1 | 4 | 0.0000000 |
| 516 | 2 | 7 | 0.0000000 |
| 517 | 1 | 8 | 0.0000000 |
| 517 | 2 | 2 | 0.0000000 |
| 518 | 1 | 4 | -0.2000000 |
| 519 | 1 | 5 | 0.2236068 |
| 520 | 1 | 6 | -0.4082483 |
| 520 | 2 | 2 | 0.0000000 |
| 521 | 1 | 4 | 0.0000000 |
| 522 | 1 | 2 | 0.5656854 |
| 522 | 2 | 7 | -0.0944911 |
| 523 | 1 | 11 | 0.1507557 |
| 524 | 1 | 3 | 0.0000000 |
| 525 | 1 | 2 | -0.3535534 |
| 525 | 2 | 7 | 0.0000000 |
| 526 | 1 | 5 | 0.3354102 |
| 527 | 1 | 3 | 0.4618802 |
| 528 | 1 | 4 | 0.0000000 |
| 528 | 2 | 5 | 0.0000000 |
| 529 | 1 | 8 | 0.4596194 |
| 529 | 2 | 2 | 0.0000000 |
| 530 | 1 | 6 | 0.0000000 |
| 531 | 1 | 2 | 0.1767767 |
| 532 | 1 | 5 | 0.0000000 |
| 532 | 2 | 6 | -0.3265986 |
| 533 | 1 | 11 | -0.1507557 |
| 534 | 1 | 7 | 0.0377964 |
| 535 | 1 | 6 | 0.0000000 |
| 536 | 1 | 7 | 0.0000000 |
| 537 | 1 | 7 | 0.2834734 |
| 538 | 1 | 4 | 0.0000000 |
| 538 | 2 | 1 | 1.0000000 |
| 539 | 1 | 1 | 0.0000000 |
| 540 | 1 | 1 | 0.0000000 |
| 541 | 1 | 5 | 0.0000000 |
| 541 | 2 | 5 | -0.2683282 |
| 542 | 1 | 2 | 0.0000000 |
| 542 | 2 | 4 | 0.0000000 |
| 543 | 1 | 2 | 0.7071068 |
| 543 | 2 | 4 | 0.0000000 |
| 544 | 1 | 1 | 0.0000000 |
| 545 | 1 | 2 | 0.0000000 |
| 546 | 1 | 4 | 0.0000000 |
| 546 | 2 | 2 | 0.0000000 |
| 547 | 1 | 4 | 0.0000000 |
| 547 | 2 | 2 | 0.0000000 |
| 548 | 1 | 5 | 0.0000000 |
| 549 | 1 | 4 | -0.3600000 |
| 549 | 2 | 3 | 0.1443376 |
| 550 | 1 | 1 | -0.4000000 |
| 550 | 2 | 4 | 0.0000000 |
| 551 | 1 | 4 | 0.0000000 |
| 551 | 2 | 3 | 0.0000000 |
| 552 | 1 | 2 | 0.0000000 |
| 552 | 2 | 4 | -0.1250000 |
| 553 | 1 | 2 | 0.0000000 |
| 553 | 2 | 3 | -0.1443376 |
| 554 | 1 | 2 | 0.0000000 |
| 554 | 2 | 3 | -0.1443376 |
| 555 | 1 | 2 | 0.0000000 |
| 555 | 2 | 1 | 0.8000000 |
| 556 | 1 | 5 | 0.0000000 |
| 556 | 2 | 1 | 0.0000000 |
| 557 | 1 | 2 | -0.2828427 |
| 557 | 2 | 2 | 0.0000000 |
| 558 | 1 | 15 | 0.3614784 |
| 559 | 1 | 6 | 0.0000000 |
| 560 | 1 | 2 | 0.0000000 |
| 560 | 2 | 10 | 0.3478505 |
| 561 | 1 | 12 | 0.0000000 |
| 562 | 1 | 6 | -0.6123724 |
| 562 | 2 | 9 | 0.0000000 |
| 563 | 1 | 2 | 0.0000000 |
| 564 | 1 | 5 | -0.1118034 |
| 565 | 1 | 9 | -0.0833333 |
| 566 | 1 | 2 | 0.0000000 |
| 566 | 2 | 4 | -0.3750000 |
| 567 | 1 | 6 | 0.0000000 |
| 567 | 2 | 5 | 0.0000000 |
| 568 | 1 | 4 | 0.0000000 |
| 568 | 2 | 6 | 0.0000000 |
| 569 | 1 | 2 | 0.0000000 |
| 569 | 2 | 5 | 0.2236068 |
| 570 | 1 | 3 | 0.2886751 |
| 571 | 1 | 1 | 0.0000000 |
| 572 | 1 | 1 | 0.0000000 |
| 573 | 1 | 3 | 0.0000000 |
| 574 | 1 | 2 | -0.2828427 |
| 575 | 1 | 1 | 0.0000000 |
| 576 | 1 | 5 | 0.0000000 |
| 577 | 1 | 2 | 0.0000000 |
| 578 | 1 | 1 | 0.0000000 |
| 579 | 1 | NA | 0.0000000 |
| 579 | 2 | 3 | -0.2309401 |
| 580 | 1 | 8 | 0.1767767 |
| 580 | 2 | 4 | 0.4500000 |
| 581 | 1 | 6 | 0.5103104 |
| 581 | 2 | 7 | 0.0000000 |
| 582 | 1 | 2 | 0.7071068 |
| 583 | 1 | 2 | 0.4242641 |
| 583 | 2 | 2 | 0.5303301 |
| 584 | 1 | 7 | 0.0000000 |
| 585 | 1 | 3 | -0.4618802 |
| 586 | 1 | 10 | 0.1897367 |
| 587 | 1 | 4 | 0.0000000 |
| 588 | 1 | 3 | 0.0000000 |
| 589 | 1 | 13 | 0.2218801 |
| 590 | 1 | 11 | 0.1809068 |
| 591 | 1 | 3 | 0.0000000 |
| 592 | 1 | 7 | -0.3023716 |
| 593 | 1 | 5 | 0.0000000 |
| 594 | 1 | 4 | 0.0000000 |
| 594 | 2 | 4 | 0.2500000 |
| 595 | 1 | 10 | -0.2529822 |
| 596 | 1 | 4 | 0.0000000 |
| 597 | 1 | 8 | -0.5303301 |
| 598 | 1 | 6 | 0.0000000 |
| 599 | 1 | 1 | 0.0000000 |
| 599 | 2 | 1 | 0.0000000 |
| 600 | 1 | 4 | 0.0000000 |
| 601 | 1 | 1 | 0.0000000 |
| 601 | 2 | 4 | 0.0000000 |
| 602 | 1 | 6 | 0.0000000 |
| 602 | 2 | 2 | -0.1767767 |
| 602 | 3 | 5 | -0.1118034 |
| 603 | 1 | 5 | 0.0000000 |
| 604 | 1 | 2 | 0.0000000 |
| 605 | 1 | 1 | 0.0000000 |
| 606 | 1 | 4 | 0.0000000 |
| 607 | 1 | 5 | 0.0000000 |
| 607 | 2 | 1 | 0.0000000 |
| 607 | 3 | 4 | 0.0000000 |
| 608 | 1 | 4 | 0.0000000 |
| 609 | 1 | 4 | 0.0000000 |
| 609 | 2 | 3 | 0.0000000 |
| 609 | 3 | 5 | 0.0000000 |
| 610 | 1 | 3 | 0.2309401 |
| 610 | 2 | 4 | 0.0000000 |
| 610 | 3 | 2 | 0.4242641 |
| 611 | 1 | 4 | 0.0000000 |
| 612 | 1 | 1 | 0.0000000 |
| 613 | 1 | 1 | 0.0000000 |
| 614 | 1 | 3 | 0.2886751 |
| 615 | 1 | 11 | 0.1206045 |
| 616 | 1 | 2 | -0.7071068 |
| 617 | 1 | 2 | 0.0000000 |
| 618 | 1 | 5 | 0.0000000 |
| 618 | 2 | 5 | 0.1118034 |
| 619 | 1 | 7 | 0.0000000 |
| 620 | 1 | 6 | -0.3061862 |
| 621 | 1 | 10 | 0.1581139 |
| 622 | 1 | 9 | 0.0000000 |
| 623 | 1 | 5 | 0.0000000 |
| 624 | 1 | 9 | 0.2666667 |
| 625 | 1 | 8 | 0.0000000 |
| 626 | 1 | 7 | -0.0944911 |
| 627 | 1 | 6 | 0.0000000 |
| 627 | 2 | 3 | 0.0000000 |
| 628 | 1 | 7 | 0.0000000 |
| 629 | 1 | 11 | 0.3919647 |
| 630 | 1 | 11 | 0.0000000 |
| 631 | 1 | 8 | -0.3535534 |
| 632 | 1 | 4 | 0.0000000 |
| 633 | 1 | 7 | 1.1480671 |
| 634 | 1 | 9 | 0.2666667 |
| 635 | 1 | 5 | -0.3354102 |
| 636 | 1 | 13 | 0.0000000 |
| 637 | 1 | 7 | 0.0000000 |
| 638 | 1 | 4 | -0.5000000 |
| 639 | 1 | 3 | 0.0000000 |
| 640 | 1 | 9 | 0.0000000 |
| 641 | 1 | 11 | 0.1206045 |
| 642 | 1 | 4 | 0.0000000 |
| 643 | 1 | 15 | 0.1807392 |
| 644 | 1 | 10 | 0.0790569 |
| 645 | 1 | 7 | 0.0000000 |
| 646 | 1 | 8 | 0.0000000 |
| 647 | 1 | 3 | 0.0000000 |
| 648 | 1 | 9 | 0.1666667 |
| 649 | 1 | 14 | 0.1336306 |
| 650 | 1 | 11 | -0.1507557 |
| 651 | 1 | 9 | 0.0000000 |
| 652 | 1 | 4 | -0.2500000 |
| 653 | 1 | 6 | 0.0000000 |
| 654 | 1 | 6 | 0.0000000 |
| 655 | 1 | 8 | 0.0000000 |
| 656 | 1 | 7 | 0.0000000 |
| 657 | 1 | 4 | 0.0000000 |
| 658 | 1 | 7 | 0.3023716 |
| 659 | 1 | 2 | 0.0000000 |
| 660 | 1 | 6 | 0.0000000 |
| 661 | 1 | 1 | 0.0000000 |
| 661 | 2 | 6 | 0.2449490 |
| 662 | 1 | 6 | 0.0000000 |
| 663 | 1 | 9 | 0.0000000 |
| 664 | 1 | 3 | 0.0000000 |
| 665 | 1 | 4 | 0.4000000 |
| 666 | 1 | 4 | 0.0000000 |
| 667 | 1 | 2 | 0.0000000 |
| 668 | 1 | 2 | 0.0000000 |
| 669 | 1 | 4 | -0.2000000 |
| 670 | 1 | 4 | 0.0000000 |
| 671 | 1 | 2 | 0.0000000 |
| 672 | 1 | 5 | 0.0000000 |
| 672 | 2 | 1 | 0.0000000 |
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| 674 | 1 | 4 | 0.0000000 |
| 675 | 1 | 5 | 0.0000000 |
| 676 | 1 | 4 | -0.3750000 |
| 677 | 1 | 7 | 0.0000000 |
| 677 | 2 | 2 | -0.0707107 |
| 678 | 1 | 1 | 0.0000000 |
| 679 | 1 | 1 | 0.8000000 |
| 680 | 1 | 1 | 1.0000000 |
| 681 | 1 | 6 | 0.2041241 |
| 682 | 1 | 1 | 0.7500000 |
| 683 | 1 | 4 | 0.1250000 |
| 683 | 2 | 2 | 0.0000000 |
| 684 | 1 | 2 | 0.3535534 |
| 684 | 2 | 4 | 0.5000000 |
| 685 | 1 | 6 | 0.0000000 |
| 686 | 1 | 1 | 0.7500000 |
| 687 | 1 | 3 | 0.4618802 |
| 687 | 2 | 3 | 0.5773503 |
| 687 | 3 | 5 | -0.3354102 |
| 688 | 1 | 3 | 0.4618802 |
| 688 | 2 | 1 | 1.0000000 |
| 689 | 1 | 1 | 0.7500000 |
| 690 | 1 | 6 | 0.2449490 |
| 691 | 1 | 7 | 0.0000000 |
| 692 | 1 | 8 | -0.0883883 |
| 693 | 1 | 8 | 0.0353553 |
| 694 | 1 | 4 | 0.0000000 |
| 695 | 1 | 8 | 0.0000000 |
| 696 | 1 | 8 | 0.0000000 |
| 697 | 1 | 10 | 0.0000000 |
| 698 | 1 | 7 | 0.0000000 |
| 699 | 1 | 7 | 0.0000000 |
| 700 | 1 | 8 | 0.1767767 |
| 701 | 1 | 9 | 0.0266667 |
| 702 | 1 | 6 | 0.2041241 |
| 703 | 1 | 4 | 0.0000000 |
| 704 | 1 | 5 | 0.0000000 |
| 704 | 2 | 5 | 0.0000000 |
| 705 | 1 | 9 | 0.0000000 |
| 706 | 1 | 4 | 0.3750000 |
| 706 | 2 | 5 | 0.0000000 |
| 707 | 1 | 4 | 0.2500000 |
| 708 | 1 | 9 | -0.0666667 |
| 709 | 1 | 6 | 0.5878775 |
| 710 | 1 | 11 | 0.1809068 |
| 711 | 1 | 13 | 0.0000000 |
| 712 | 1 | 8 | 0.0000000 |
| 713 | 1 | 8 | 0.1767767 |
| 714 | 1 | 10 | 0.1897367 |
| 715 | 1 | 5 | 0.0000000 |
| 716 | 1 | 13 | 0.2773501 |
| 717 | 1 | 5 | 0.3577709 |
| 718 | 1 | 7 | -0.1889822 |
| 719 | 1 | 10 | -0.3952847 |
| 720 | 1 | 6 | 0.5103104 |
| 721 | 1 | 3 | 0.0000000 |
| 722 | 1 | 10 | 0.0000000 |
| 723 | 1 | 5 | 0.0000000 |
| 724 | 1 | 7 | 0.0000000 |
| 724 | 2 | 6 | 0.0000000 |
| 725 | 1 | 11 | 0.2261335 |
| 726 | 1 | 11 | 0.0000000 |
| 727 | 1 | 9 | 0.0000000 |
| 728 | 1 | 1 | 0.0000000 |
| 728 | 2 | 2 | 0.0000000 |
| 728 | 3 | 1 | 0.8000000 |
| 729 | 1 | 1 | 0.8000000 |
| 729 | 2 | 3 | 0.0000000 |
| 729 | 3 | 5 | 0.0000000 |
| 730 | 1 | 8 | 0.0000000 |
| 731 | 1 | 6 | -0.5511352 |
| 732 | 1 | 9 | -0.1666667 |
| 733 | 1 | 5 | 0.0000000 |
| 734 | 1 | 8 | 0.0000000 |
| 735 | 1 | 9 | -0.2500000 |
| 736 | 1 | 15 | 0.0000000 |
| 737 | 1 | 1 | 0.0000000 |
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| 739 | 1 | 2 | 0.0000000 |
| 740 | 1 | 1 | 0.0000000 |
| 740 | 2 | 3 | 0.0000000 |
| 740 | 3 | 1 | 0.0000000 |
| 740 | 4 | 2 | -0.3535534 |
| 740 | 5 | 2 | 0.0000000 |
| 741 | 1 | 7 | -0.0944911 |
| 742 | 1 | 15 | 0.0000000 |
| 743 | 1 | 10 | -0.1581139 |
| 744 | 1 | 6 | 0.0000000 |
| 745 | 1 | 10 | 0.6640783 |
| 746 | 1 | 3 | -0.1443376 |
| 747 | 1 | 6 | 0.0000000 |
| 748 | 1 | 10 | 0.0948683 |
| 749 | 1 | 2 | 1.0182338 |
| 749 | 2 | 8 | -0.3535534 |
| 750 | 1 | 11 | -0.2261335 |
| 751 | 1 | 7 | -0.3779645 |
| 752 | 1 | 12 | -0.0721688 |
| 753 | 1 | 10 | -0.1581139 |
| 754 | 1 | 1 | -0.6000000 |
| 754 | 2 | 1 | 1.0000000 |
| 755 | 1 | 6 | 0.0000000 |
| 756 | 1 | 7 | 0.0000000 |
| 757 | 1 | 3 | 0.0000000 |
| 758 | 1 | 13 | 0.0000000 |
| 759 | 1 | 5 | 0.0000000 |
| 760 | 1 | 5 | 0.0000000 |
| 760 | 2 | 6 | 0.0000000 |
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| 762 | 1 | 4 | 0.0000000 |
| 762 | 2 | 11 | 0.0150756 |
| 763 | 1 | 8 | 0.2651650 |
| 764 | 1 | 11 | 0.3256323 |
| 765 | 1 | 7 | -0.3779645 |
| 766 | 1 | 10 | 0.1581139 |
| 767 | 1 | 8 | 0.0000000 |
| 768 | 1 | 8 | 0.2121320 |
| 769 | 1 | 8 | 0.1944544 |
| 770 | 1 | 2 | 0.4242641 |
| 771 | 1 | 6 | 0.0000000 |
| 772 | 1 | 11 | -0.3015113 |
| 773 | 1 | 4 | -0.2500000 |
| 774 | 1 | 11 | 0.0000000 |
| 775 | 1 | 11 | -0.1507557 |
| 776 | 1 | 9 | -0.2000000 |
| 777 | 1 | 2 | 0.0000000 |
| 777 | 2 | 7 | 0.0000000 |
| 778 | 1 | 13 | 0.1109400 |
| 779 | 1 | 8 | 0.2828427 |
| 780 | 1 | 5 | 0.0000000 |
| 781 | 1 | 5 | 0.0000000 |
| 782 | 1 | 10 | 0.0000000 |
| 783 | 1 | 10 | 0.0000000 |
| 784 | 1 | 12 | 0.2886751 |
| 785 | 1 | 5 | 0.0000000 |
| 786 | 1 | 4 | 0.0000000 |
| 787 | 1 | 1 | 0.0000000 |
| 787 | 2 | 2 | 0.0000000 |
| 788 | 1 | 6 | 0.0204124 |
| 788 | 2 | 4 | 0.0000000 |
| 788 | 3 | 3 | 0.0000000 |
| 789 | 1 | 8 | 0.1767767 |
| 790 | 1 | 6 | -0.4082483 |
| 791 | 1 | 8 | -0.2651650 |
| 792 | 1 | 6 | 0.0000000 |
| 793 | 1 | 4 | -0.2500000 |
| 793 | 2 | 5 | 0.0000000 |
| 794 | 1 | 1 | 0.0000000 |
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| 795 | 1 | 10 | 0.2371708 |
| 796 | 1 | 1 | 0.0000000 |
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| 798 | 1 | 10 | 0.0000000 |
| 799 | 1 | 3 | 0.0000000 |
| 800 | 1 | 8 | -0.0565685 |
| 801 | 1 | 9 | 0.0000000 |
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| 803 | 1 | 10 | 0.0000000 |
| 804 | 1 | 9 | 0.4666667 |
| 805 | 1 | 9 | -0.0333333 |
| 806 | 1 | 5 | 0.3354102 |
| 807 | 1 | 11 | 0.1507557 |
| 808 | 1 | 7 | 0.0000000 |
| 809 | 1 | 4 | -0.3750000 |
| 810 | 1 | 8 | 0.0000000 |
| 811 | 1 | 4 | 0.0000000 |
| 811 | 2 | 3 | -0.4330127 |
| 811 | 3 | 7 | 0.0000000 |
| 812 | 1 | 6 | -0.1020621 |
| 813 | 1 | 9 | -0.0900000 |
| 814 | 1 | 9 | 0.9000000 |
| 815 | 1 | 7 | 0.0944911 |
| 816 | 1 | 5 | -0.4472136 |
| 817 | 1 | 5 | 0.0000000 |
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| 819 | 1 | 4 | -0.3750000 |
| 820 | 1 | 8 | -0.3181981 |
| 821 | 1 | 10 | -0.1423025 |
| 822 | 1 | 6 | 0.2041241 |
| 823 | 1 | 1 | 0.8000000 |
| 823 | 2 | 7 | 0.0000000 |
| 824 | 1 | 6 | -0.1020621 |
| 825 | 1 | 8 | 0.4419417 |
| 826 | 1 | 14 | 0.0000000 |
| 827 | 1 | 8 | 0.0000000 |
| 828 | 1 | 9 | 0.7166667 |
| 829 | 1 | 11 | 0.0753778 |
| 830 | 1 | 4 | 0.2000000 |
| 831 | 1 | 8 | 0.8485281 |
| 832 | 1 | 11 | 0.1507557 |
| 833 | 1 | 5 | 0.6260990 |
| 833 | 2 | 5 | 0.0000000 |
| 834 | 1 | 10 | 0.5533986 |
| 835 | 1 | 3 | 0.2886751 |
| 835 | 2 | 3 | 0.2886751 |
| 836 | 1 | 1 | 0.0000000 |
| 836 | 2 | 1 | 0.0000000 |
| 837 | 1 | 5 | 0.0000000 |
| 838 | 1 | 6 | 0.0000000 |
| 839 | 1 | 1 | 0.0000000 |
| 840 | 1 | 3 | 0.4618802 |
| 841 | 1 | 1 | 0.0000000 |
| 841 | 2 | 4 | 0.2000000 |
| 842 | 1 | 1 | 0.0000000 |
| 843 | 1 | 6 | 0.0000000 |
| 843 | 2 | 2 | 0.3535534 |
| 844 | 1 | 6 | -0.2449490 |
| 845 | 1 | 5 | 0.0000000 |
| 846 | 1 | 5 | 0.0000000 |
| 847 | 1 | 4 | 0.0000000 |
| 847 | 2 | 4 | 0.4000000 |
| 848 | 1 | 4 | 0.2500000 |
| 849 | 1 | 8 | 0.3535534 |
| 850 | 1 | 5 | 0.0000000 |
| 851 | 1 | 1 | 0.0000000 |
| 851 | 2 | 2 | 0.5303301 |
| 852 | 1 | 2 | 0.5303301 |
| 852 | 2 | 2 | 0.5303301 |
| 853 | 1 | 6 | 0.0000000 |
| 854 | 1 | 7 | 0.8504201 |
| 855 | 1 | 2 | 0.5303301 |
| 855 | 2 | 2 | 0.5303301 |
| 856 | 1 | NA | 0.0000000 |
| 856 | 2 | 4 | 0.3750000 |
| 857 | 1 | 2 | 0.0000000 |
| 857 | 2 | 2 | 0.0000000 |
| 858 | 1 | 3 | 0.0000000 |
| 858 | 2 | 3 | 0.0000000 |
| 859 | 1 | 4 | 0.5750000 |
| 860 | 1 | 1 | 0.0000000 |
| 861 | 1 | 3 | 0.4330127 |
| 862 | 1 | 3 | 0.0000000 |
| 862 | 2 | 4 | 0.3750000 |
| 863 | 1 | 3 | 0.0000000 |
| 864 | 1 | 11 | 0.0000000 |
| 865 | 1 | 2 | 0.1767767 |
| 865 | 2 | 1 | 0.0000000 |
| 866 | 1 | 15 | 0.2065591 |
| 867 | 1 | 6 | -0.1837117 |
| 868 | 1 | 2 | 0.5656854 |
| 868 | 2 | 3 | 0.0000000 |
| 868 | 3 | 3 | 0.0000000 |
| 868 | 4 | 4 | 0.0000000 |
| 869 | 1 | 7 | 0.2267787 |
| 869 | 2 | 3 | 0.0000000 |
| 870 | 1 | 5 | 0.0000000 |
| 871 | 1 | 10 | -0.0790569 |
| 872 | 1 | 8 | 0.0000000 |
| 873 | 1 | 3 | 0.0000000 |
| 874 | 1 | 5 | 0.0000000 |
| 875 | 1 | 12 | -0.3608439 |
| 876 | 1 | 9 | 0.0833333 |
| 877 | 1 | 3 | -0.7216878 |
| 878 | 1 | 4 | 0.0000000 |
| 878 | 2 | 4 | 0.0000000 |
| 879 | 1 | 8 | 0.0000000 |
| 880 | 1 | 9 | 0.0000000 |
| 881 | 1 | 1 | -0.5000000 |
| 882 | 1 | 3 | 0.0000000 |
| 882 | 2 | 1 | -0.5000000 |
| 883 | 1 | 2 | 0.0000000 |
| 883 | 2 | 2 | -0.3535534 |
| 884 | 1 | 2 | 0.0000000 |
| 885 | 1 | 1 | 0.5000000 |
| 885 | 2 | 5 | 0.1788854 |
| 886 | 1 | 1 | 0.8000000 |
| 886 | 2 | 2 | 0.0000000 |
| 887 | 1 | 4 | 0.0000000 |
| 888 | 1 | 2 | 0.0000000 |
| 889 | 1 | 9 | 0.0000000 |
| 890 | 1 | 2 | 0.0000000 |
| 891 | 1 | 6 | 0.0000000 |
| 892 | 1 | 10 | 0.0000000 |
| 893 | 1 | 4 | 0.0000000 |
| 894 | 1 | 7 | -0.1889822 |
| 895 | 1 | 5 | 0.0000000 |
| 896 | 1 | 6 | 0.0408248 |
| 896 | 2 | 3 | 0.0000000 |
| 897 | 1 | 5 | 0.0000000 |
| 897 | 2 | 3 | -0.2886751 |
| 898 | 1 | 4 | 0.0000000 |
| 898 | 2 | 7 | -0.1889822 |
| 899 | 1 | 15 | -0.1290994 |
| 900 | 1 | 11 | 0.1206045 |
| 901 | 1 | 1 | 0.8000000 |
| 901 | 2 | 1 | 0.0000000 |
| 902 | 1 | 2 | 0.3535534 |
| 903 | 1 | 3 | 0.0000000 |
| 904 | 1 | 3 | -0.3464102 |
| 905 | 1 | 7 | 0.0000000 |
| 906 | 1 | 3 | 0.0000000 |
| 907 | 1 | 2 | 0.0000000 |
| 907 | 2 | 2 | 0.0000000 |
| 908 | 1 | 7 | 0.0000000 |
| 908 | 2 | 6 | -0.3061862 |
| 909 | 1 | 5 | 0.0000000 |
| 910 | 1 | 6 | -0.1020621 |
| 910 | 2 | 3 | 0.0000000 |
| 911 | 1 | 1 | 0.0000000 |
| 911 | 2 | 3 | 0.0000000 |
| 912 | 1 | 3 | 0.0000000 |
| 912 | 2 | 1 | 0.0000000 |
| 913 | 1 | 6 | 0.0000000 |
| 913 | 2 | 9 | 0.0000000 |
| 914 | 1 | 5 | 0.0000000 |
| 915 | 1 | 6 | 0.2041241 |
| 916 | 1 | 2 | 0.0000000 |
| 917 | 1 | 1 | 0.0000000 |
| 917 | 2 | 1 | 0.0000000 |
| 918 | 1 | 2 | 0.0000000 |
| 918 | 2 | 2 | 0.0000000 |
| 919 | 1 | 4 | 0.0000000 |
| 920 | 1 | 2 | 0.3535534 |
| 921 | 1 | 2 | 0.0000000 |
| 921 | 2 | 2 | 0.0000000 |
| 922 | 1 | 7 | 0.0000000 |
| 922 | 2 | 7 | 0.0000000 |
| 923 | 1 | 4 | 0.0000000 |
| 923 | 2 | 2 | 0.5656854 |
| 924 | 1 | 1 | 0.0000000 |
| 925 | 1 | 2 | 0.4242641 |
| 926 | 1 | 3 | 0.5773503 |
| 927 | 1 | 12 | -0.1443376 |
| 928 | 1 | 3 | 0.0000000 |
| 928 | 2 | 3 | 0.5773503 |
| 929 | 1 | 1 | -0.7500000 |
| 930 | 1 | 3 | 0.0000000 |
| 930 | 2 | 5 | 0.0000000 |
| 931 | 1 | 7 | 0.0000000 |
| 932 | 1 | 2 | 0.5303301 |
| 932 | 2 | 3 | 0.0000000 |
| 933 | 1 | 5 | 0.0000000 |
| 933 | 2 | 4 | 0.0000000 |
| 934 | 1 | 4 | 0.0000000 |
| 935 | 1 | 4 | 0.0000000 |
| 936 | 1 | 1 | 0.0000000 |
| 937 | 1 | 1 | 0.0000000 |
| 938 | 1 | 7 | 0.3779645 |
| 939 | 1 | 8 | 0.0000000 |
| 940 | 1 | 5 | 0.0000000 |
| 940 | 2 | 2 | 0.0000000 |
| 940 | 3 | 3 | 0.0000000 |
| 941 | 1 | 2 | 0.0000000 |
| 942 | 1 | 2 | -0.1767767 |
| 942 | 2 | 2 | -0.1767767 |
| 943 | 1 | 2 | -0.1767767 |
| 944 | 1 | 1 | 0.0000000 |
| 944 | 2 | 3 | 0.4618802 |
| 945 | 1 | 2 | -0.1767767 |
| 945 | 2 | 4 | 0.0000000 |
| 946 | 1 | 9 | 0.0000000 |
| 947 | 1 | 2 | 0.5656854 |
| 947 | 2 | 8 | 0.4242641 |
| 948 | 1 | 5 | 0.2236068 |
| 948 | 2 | 3 | 0.0000000 |
| 948 | 3 | 4 | 0.0000000 |
| 949 | 1 | 4 | 0.0000000 |
| 949 | 2 | 5 | 0.3577709 |
| 950 | 1 | 6 | 0.0000000 |
| 951 | 1 | 7 | 0.5442688 |
| 951 | 2 | 3 | 0.3464102 |
| 952 | 1 | 1 | 0.0000000 |
| 953 | 1 | 2 | 0.0000000 |
| 953 | 2 | 1 | 0.0000000 |
| 953 | 3 | 4 | 0.0000000 |
| 954 | 1 | 2 | 0.5303301 |
| 955 | 1 | 3 | -0.2886751 |
| 956 | 1 | 7 | 0.0000000 |
| 957 | 1 | 1 | 0.0000000 |
| 958 | 1 | 3 | 0.0000000 |
| 958 | 2 | 1 | 0.0000000 |
| 959 | 1 | 3 | 0.0000000 |
| 960 | 1 | 2 | 0.2828427 |
| 961 | 1 | 3 | 0.0000000 |
| 962 | 1 | 6 | 0.0000000 |
| 963 | 1 | 9 | 0.0000000 |
| 964 | 1 | 6 | 0.0000000 |
| 964 | 2 | 1 | 0.0000000 |
| 965 | 1 | 5 | 0.0000000 |
| 965 | 2 | 3 | 0.0000000 |
| 966 | 1 | 3 | 0.0000000 |
| 967 | 1 | 5 | 0.0000000 |
| 967 | 2 | 2 | 0.5656854 |
| 968 | 1 | 10 | 0.2529822 |
| 969 | 1 | 5 | 0.3354102 |
| 969 | 2 | 7 | -0.3779645 |
| 970 | 1 | 3 | 0.0000000 |
| 971 | 1 | 8 | 0.1237437 |
| 971 | 2 | 4 | 0.0000000 |
| 972 | 1 | 6 | 0.0000000 |
| 972 | 2 | 5 | 0.0000000 |
| 973 | 1 | 4 | 0.0000000 |
| 973 | 2 | 6 | 0.0000000 |
| 974 | 1 | 4 | 0.0000000 |
| 975 | 1 | 6 | 0.0000000 |
| 976 | 1 | 3 | 0.3464102 |
| 977 | 1 | 4 | 0.0000000 |
| 978 | 1 | 4 | 0.0000000 |
| 979 | 1 | 10 | -0.3952847 |
| 980 | 1 | 3 | 0.0000000 |
| 981 | 1 | 9 | -0.2500000 |
| 982 | 1 | 6 | 0.0000000 |
| 983 | 1 | 7 | -0.1511858 |
| 984 | 1 | 12 | -0.1443376 |
| 985 | 1 | 9 | -0.4166667 |
| 986 | 1 | 1 | 0.0000000 |
| 986 | 2 | 7 | 0.0000000 |
| 987 | 1 | 7 | 0.0000000 |
| 988 | 1 | 4 | 0.0000000 |
| 989 | 1 | 12 | -0.0721688 |
| 990 | 1 | 7 | 0.0000000 |
| 990 | 2 | 2 | 0.3535534 |
| 991 | 1 | 5 | 0.3577709 |
| 992 | 1 | 4 | 0.0000000 |
| 992 | 2 | 7 | 0.0000000 |
| 993 | 1 | 5 | 0.0000000 |
| 994 | 1 | 4 | -0.1250000 |
| 994 | 2 | 6 | 0.0000000 |
| 995 | 1 | 3 | 0.0000000 |
| 996 | 1 | 5 | 0.0000000 |
| 997 | 1 | 7 | 0.3779645 |
| 998 | 1 | 7 | 0.0000000 |
| 999 | 1 | 1 | 0.0000000 |
| 999 | 2 | 13 | 0.3744226 |
| 1000 | 1 | 4 | 0.5000000 |
| 1000 | 2 | 2 | 0.0000000 |
| 1001 | 1 | 3 | 0.0000000 |
| 1002 | 1 | 7 | 0.0000000 |
| 1002 | 2 | 1 | 0.7500000 |
| 1003 | 1 | 4 | 0.0000000 |
| 1004 | 1 | 1 | 0.0000000 |
| 1005 | 1 | 4 | 0.0000000 |
| 1006 | 1 | 4 | 0.0000000 |
| 1006 | 2 | 3 | 0.0000000 |
| 1007 | 1 | 6 | 0.4082483 |
| 1007 | 2 | 2 | 0.0000000 |
| 1008 | 1 | 2 | 0.0000000 |
| 1009 | 1 | 7 | 0.0000000 |
| 1009 | 2 | 6 | 0.0000000 |
| 1010 | 1 | 5 | 0.0000000 |
| 1011 | 1 | 6 | -0.1020621 |
| 1012 | 1 | 6 | -0.1632993 |
| 1012 | 2 | 5 | 0.0000000 |
| 1012 | 3 | 5 | 0.0000000 |
| 1013 | 1 | 1 | 0.0000000 |
| 1013 | 2 | 1 | 0.7500000 |
| 1014 | 1 | 4 | 0.1750000 |
| 1015 | 1 | 6 | 0.0000000 |
| 1016 | 1 | 1 | 0.0000000 |
| 1016 | 2 | 13 | 0.1109400 |
| 1017 | 1 | 2 | 0.0000000 |
| 1017 | 2 | 3 | 0.0000000 |
| 1017 | 3 | 5 | 0.0000000 |
| 1018 | 1 | 2 | 0.0000000 |
| 1019 | 1 | 5 | 0.0000000 |
| 1019 | 2 | 8 | 0.0000000 |
| 1020 | 1 | 2 | 0.0000000 |
| 1021 | 1 | 5 | -0.1788854 |
| 1022 | 1 | 1 | 0.0000000 |
| 1023 | 1 | 9 | 0.0000000 |
| 1024 | 1 | 5 | 0.0000000 |
| 1024 | 2 | 3 | 0.0000000 |
| 1025 | 1 | 1 | 0.0000000 |
| 1025 | 2 | 12 | -0.0721688 |
| 1026 | 1 | 7 | 0.0000000 |
| 1027 | 1 | 4 | -0.1250000 |
| 1027 | 2 | 6 | 0.0000000 |
| 1028 | 1 | 3 | 0.0000000 |
| 1028 | 2 | 4 | -0.3750000 |
| 1029 | 1 | 3 | 0.0000000 |
| 1030 | 1 | 2 | 0.0000000 |
| 1031 | 1 | 4 | 0.0000000 |
| 1032 | 1 | 1 | 0.0000000 |
| 1033 | 1 | 3 | -0.1443376 |
| 1034 | 1 | 8 | 0.0000000 |
| 1035 | 1 | 11 | 0.2261335 |
| 1036 | 1 | 9 | 0.0000000 |
| 1037 | 1 | 3 | 0.0000000 |
| 1038 | 1 | 4 | 0.0000000 |
| 1038 | 2 | 2 | 0.0000000 |
| 1039 | 1 | 7 | 0.1889822 |
| 1040 | 1 | 6 | -0.3061862 |
| 1041 | 1 | 8 | -0.1767767 |
| 1042 | 1 | 6 | -0.2041241 |
| 1042 | 2 | 2 | 0.0000000 |
| 1043 | 1 | 12 | -0.1443376 |
| 1044 | 1 | 3 | 0.2886751 |
| 1045 | 1 | 7 | 0.0000000 |
| 1045 | 2 | 4 | 0.0000000 |
| 1046 | 1 | 2 | 0.0000000 |
| 1046 | 2 | 2 | -0.7071068 |
| 1046 | 3 | 3 | 0.0000000 |
| 1047 | 1 | 3 | -0.4330127 |
| 1047 | 2 | 2 | 0.0000000 |
| 1047 | 3 | 6 | 0.0000000 |
| 1048 | 1 | 2 | 0.0000000 |
| 1049 | 1 | 8 | -0.5303301 |
| 1050 | 1 | 2 | 0.0000000 |
| 1050 | 2 | 1 | 0.0000000 |
| 1051 | 1 | 2 | 0.0000000 |
| 1052 | 1 | 2 | -0.1767767 |
| 1053 | 1 | 6 | 0.1632993 |
| 1054 | 1 | 1 | 0.0000000 |
| 1055 | 1 | 3 | 0.0000000 |
| 1056 | 1 | 4 | 0.0000000 |
| 1057 | 1 | 3 | 0.0000000 |
| 1058 | 1 | 8 | 0.2121320 |
| 1059 | 1 | 9 | 0.7500000 |
| 1060 | 1 | 4 | 0.0000000 |
| 1061 | 1 | 3 | 0.3464102 |
| 1062 | 1 | 3 | 0.0000000 |
| 1063 | 1 | 3 | 0.0000000 |
| 1064 | 1 | 8 | 0.2651650 |
| 1065 | 1 | 4 | 0.0000000 |
| 1066 | 1 | 6 | -0.0816497 |
| 1067 | 1 | 10 | 0.0000000 |
| 1068 | 1 | 3 | -0.5773503 |
| 1069 | 1 | 3 | -0.5773503 |
| 1070 | 1 | 4 | 0.0000000 |
| 1071 | 1 | 5 | -0.3354102 |
| 1072 | 1 | 8 | 0.2828427 |
| 1073 | 1 | 8 | 0.0000000 |
| 1074 | 1 | 2 | -0.5303301 |
| 1075 | 1 | 5 | 0.1118034 |
| 1076 | 1 | 3 | 0.0000000 |
| 1077 | 1 | 2 | 0.7071068 |
| 1078 | 1 | 8 | 0.0000000 |
| 1079 | 1 | 7 | 0.0000000 |
| 1080 | 1 | 9 | 0.0000000 |
| 1081 | 1 | 9 | 0.0000000 |
| 1082 | 1 | 8 | -0.2651650 |
| 1083 | 1 | 4 | 0.1250000 |
| 1084 | 1 | 2 | 0.7071068 |
| 1085 | 1 | 3 | 0.0000000 |
| 1086 | 1 | 4 | 0.0000000 |
| 1087 | 1 | NA | 0.0000000 |
| 1087 | 2 | 2 | 0.0000000 |
| 1088 | 1 | 3 | 0.2309401 |
| 1089 | 1 | 2 | 0.0000000 |
| 1090 | 1 | 5 | -0.3354102 |
| 1090 | 2 | 3 | 0.0000000 |
| 1091 | 1 | 6 | 0.0000000 |
| 1092 | 1 | 6 | 0.0000000 |
| 1093 | 1 | 7 | 0.8504201 |
| 1094 | 1 | 1 | 0.0000000 |
| 1095 | 1 | 1 | 0.0000000 |
| 1096 | 1 | 3 | 0.0000000 |
| 1096 | 2 | 1 | 0.0000000 |
| 1096 | 3 | 3 | 0.4618802 |
| 1097 | 1 | 2 | 0.0000000 |
| 1097 | 2 | 2 | 0.0000000 |
| 1098 | 1 | 4 | 0.0000000 |
| 1098 | 2 | 1 | 0.0000000 |
| 1098 | 3 | 2 | 0.0000000 |
| 1099 | 1 | 4 | 0.0000000 |
| 1099 | 2 | 4 | 0.3000000 |
#id字串轉成數字以便與sentimentr分析的結果merge
movie <- movie %>%
mutate(id = as.numeric(id))
#跟movie join為了計算各個情緒分數屬於第幾分鐘
sentimentr_movie <- sentimentr_result %>%
merge(y = movie, by.x = "element_id", by.y = "id")
#每分鐘的情緒分數加總
sentimentr_movie %>%
group_by(start_minute) %>%
summarise(sentiment = sum(sentiment)) %>%
ggplot() +
geom_line(aes(start_minute, sentiment)) +
labs(x="分鐘", y="情緒分數")
說明:
sentimentr語句分析結果，與bing的結果相似，後面會有圖比較
Sentimentr 英文情緒分析-2:每分鐘每句的情緒平均
# 字幕切成每分鐘一組
grouped_caption <- split(movie$text, movie$start_minute)
# 將每一分鐘的所有句子合併成一字串
grouped_caption <- Map(paste, grouped_caption, collapse = "")
# 解除掉list
grouped_caption <- unlist(grouped_caption)
# 使用sentimentr分析
caption_sentiment <- sentiment_by(get_sentences(grouped_caption))
#分析結果
kable(caption_sentiment) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| element_id | word_count | sd | ave_sentiment |
|---|---|---|---|
| 1 | 63 | 0.2119516 | -0.0139705 |
| 2 | 108 | 0.2651230 | 0.1679167 |
| 3 | 69 | 0.2901422 | 0.1496278 |
| 4 | 44 | 0.1543055 | 0.1647976 |
| 5 | 118 | 0.2762822 | 0.3879298 |
| 6 | 93 | 0.3857497 | 0.2489949 |
| 7 | 32 | 0.1187150 | 0.1406538 |
| 8 | 82 | 0.0820089 | -0.0025098 |
| 9 | 13 | 0.2014462 | 0.2296474 |
| 10 | 65 | 0.1324610 | 0.1590564 |
| 11 | 105 | 0.1355829 | -0.0615116 |
| 12 | 74 | 0.2711674 | 0.2082424 |
| 13 | 1 | NA | 0.0000000 |
| 14 | 115 | 0.1558515 | -0.0051527 |
| 15 | 93 | 0.2717728 | 0.3132598 |
| 16 | 38 | 0.1521401 | -0.2244436 |
| 17 | 134 | 0.1748372 | 0.0006327 |
| 18 | 13 | NA | 0.5200314 |
| 19 | 55 | 0.0926880 | 0.0944452 |
| 20 | 19 | 0.2053960 | 0.1585076 |
| 21 | 66 | 0.3229322 | 0.1304547 |
| 22 | 12 | 0.0651720 | -0.0774888 |
| 23 | 36 | 0.1533535 | -0.0046542 |
| 24 | 41 | 0.2516929 | 0.2157139 |
| 25 | 106 | 0.1874321 | 0.1338961 |
| 26 | 18 | 0.0890391 | 0.2871459 |
| 27 | 125 | 0.2126798 | -0.0554763 |
| 28 | 101 | 0.3366131 | -0.1356126 |
| 29 | 35 | 0.3003683 | -0.0335938 |
| 30 | 44 | 0.2545225 | 0.1411298 |
| 31 | 93 | 0.3363073 | 0.1378089 |
| 32 | 9 | 0.2091766 | 0.5229102 |
| 33 | 36 | 0.0633620 | 0.0038871 |
| 34 | 77 | 0.1063714 | -0.0598502 |
| 35 | 145 | 0.1208226 | 0.0301584 |
| 36 | 106 | 0.2373690 | 0.0631503 |
| 37 | 119 | 0.1634692 | 0.1157757 |
| 38 | 161 | 0.3270043 | 0.2055092 |
| 39 | 100 | 0.3980038 | 0.1041817 |
| 40 | 39 | 0.4031126 | -0.0035702 |
| 41 | 60 | 0.0880353 | 0.0274170 |
| 42 | 44 | 0.3241505 | 0.2190677 |
| 43 | 57 | 0.0773444 | 0.0580304 |
| 44 | 24 | 0.2103803 | -0.0064239 |
| 45 | 49 | 0.1091089 | -0.1205345 |
| 46 | 56 | 0.3666298 | 0.1468782 |
| 47 | 140 | 0.1252615 | 0.0015307 |
| 48 | 97 | 0.1549081 | 0.0849284 |
| 49 | 100 | 0.2476698 | 0.0592388 |
| 50 | 99 | 0.2177492 | 0.0445644 |
| 51 | 121 | 0.2302161 | 0.0234190 |
| 52 | 41 | 0.2369123 | 0.0715909 |
| 53 | 93 | 0.2942505 | 0.2182324 |
| 54 | 108 | 0.1522994 | -0.0073646 |
| 55 | 86 | 0.1736020 | 0.0166536 |
| 56 | 116 | 0.4274384 | 0.1161270 |
| 57 | 91 | 0.1721242 | 0.0527914 |
| 58 | 67 | 0.1189929 | 0.1251325 |
| 59 | 36 | 0.1475730 | 0.0574332 |
| 60 | 62 | 0.3993140 | 0.3650653 |
| 61 | 89 | 0.1711380 | 0.0703766 |
| 62 | 150 | 0.2083099 | 0.1787096 |
| 63 | 168 | 0.3069278 | -0.0021371 |
| 64 | 141 | 0.4436151 | 0.0832957 |
| 65 | 161 | 0.2293657 | 0.0714651 |
| 66 | 139 | 0.1341610 | -0.0166736 |
| 67 | 144 | 0.2343775 | -0.0169301 |
| 68 | 146 | 0.4052606 | 0.2371326 |
| 69 | 37 | 0.1652580 | 0.1161603 |
| 70 | 81 | 0.2663602 | 0.4284412 |
| 71 | 147 | 0.1883597 | 0.0638985 |
| 72 | 52 | 0.2302122 | 0.0250540 |
| 73 | 87 | 0.1988670 | -0.0379689 |
| 74 | 106 | 0.1525581 | 0.1004702 |
| 75 | 63 | 0.2029982 | 0.1853921 |
| 76 | 53 | 0.1688924 | 0.0197094 |
| 77 | 60 | 0.2653209 | 0.2769783 |
| 78 | 122 | 0.1723680 | 0.1344737 |
| 79 | 116 | 0.2525203 | -0.0644448 |
| 80 | 105 | 0.2364902 | 0.2908251 |
| 81 | 46 | 0.2288124 | 0.0930957 |
| 82 | 100 | 0.0519289 | -0.0253535 |
| 83 | 20 | 0.1526476 | -0.1588851 |
| 84 | 37 | 0.0923186 | 0.0966975 |
| 85 | 88 | 0.2270337 | -0.2162895 |
| 86 | 2 | NA | -0.1767767 |
| 87 | 6 | NA | 0.1632993 |
| 88 | 67 | 0.2431733 | 0.2097059 |
| 89 | 83 | 0.4001915 | -0.0166709 |
| 90 | 47 | 0.2559969 | 0.1539487 |
| 91 | 28 | 0.1582922 | 0.2166016 |
#分析完後會得到ave_sentiment欄位
#ave_sentiment說明:Sentiment score mean average by grouping variable
#ave_sentiment為每一分鐘情緒分數的平均
#每分鐘的情緒分數平均
caption_sentiment %>%
ggplot() +
geom_line(aes(element_id, ave_sentiment)) +
labs(x="分鐘", y="情緒分數")
說明:
使用加總與使用平均所繪製出來的線圖有差別
平均的結果沒辦法疊佳情緒值，例如:一分鐘裡面，只有一句話，那一句話有許多正面詞彙，情緒分數為1，平均結果也是1， 相反的，如果一分鐘裡面，有好幾句話，每句話都有一些正面詞彙，每句情緒分數為0.2，結果平均起來是0.2， 因此情緒分數平均的結果會受到句數影響
比較各辭典與sentimentr分析結果
比較三種辭庫afinn,bing,NRC還有sentimentr計算出每分鐘情緒分數的差別
#因為afinn已經有分數，所以獨立出來做
afinn <- tokens %>%
inner_join(get_sentiments("afinn")) %>%
group_by(start_minute) %>%
summarise(sentiment = sum(score)) %>% #依照第幾分鐘分群，計算出每分鐘的情緒分數
mutate(method = "AFINN")
#afinn結果
kable(afinn) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| start_minute | sentiment | method |
|---|---|---|
| 0 | -7 | AFINN |
| 1 | 2 | AFINN |
| 2 | -2 | AFINN |
| 3 | -3 | AFINN |
| 4 | 8 | AFINN |
| 5 | 3 | AFINN |
| 6 | 1 | AFINN |
| 7 | -1 | AFINN |
| 8 | 3 | AFINN |
| 9 | 8 | AFINN |
| 10 | -3 | AFINN |
| 11 | -3 | AFINN |
| 13 | 4 | AFINN |
| 15 | -2 | AFINN |
| 16 | -1 | AFINN |
| 17 | -4 | AFINN |
| 18 | -2 | AFINN |
| 20 | 2 | AFINN |
| 21 | 1 | AFINN |
| 22 | -1 | AFINN |
| 23 | 3 | AFINN |
| 24 | 3 | AFINN |
| 25 | 2 | AFINN |
| 26 | -4 | AFINN |
| 27 | -13 | AFINN |
| 28 | -1 | AFINN |
| 29 | 2 | AFINN |
| 30 | -1 | AFINN |
| 32 | 5 | AFINN |
| 33 | 1 | AFINN |
| 34 | -8 | AFINN |
| 35 | -1 | AFINN |
| 36 | 5 | AFINN |
| 37 | 5 | AFINN |
| 38 | 8 | AFINN |
| 39 | 1 | AFINN |
| 40 | -1 | AFINN |
| 41 | 4 | AFINN |
| 42 | 7 | AFINN |
| 43 | 1 | AFINN |
| 46 | -1 | AFINN |
| 47 | 2 | AFINN |
| 48 | -3 | AFINN |
| 49 | -5 | AFINN |
| 50 | -5 | AFINN |
| 51 | -8 | AFINN |
| 52 | -1 | AFINN |
| 53 | 1 | AFINN |
| 54 | -6 | AFINN |
| 55 | -2 | AFINN |
| 56 | 0 | AFINN |
| 57 | 2 | AFINN |
| 59 | 0 | AFINN |
| 60 | 7 | AFINN |
| 61 | 4 | AFINN |
| 62 | 7 | AFINN |
| 63 | -3 | AFINN |
| 64 | -1 | AFINN |
| 65 | -2 | AFINN |
| 66 | -1 | AFINN |
| 67 | -9 | AFINN |
| 68 | 5 | AFINN |
| 70 | 3 | AFINN |
| 71 | 1 | AFINN |
| 72 | -2 | AFINN |
| 74 | 4 | AFINN |
| 75 | 0 | AFINN |
| 76 | -4 | AFINN |
| 77 | 1 | AFINN |
| 78 | 2 | AFINN |
| 79 | -8 | AFINN |
| 80 | -11 | AFINN |
| 81 | -2 | AFINN |
| 82 | 4 | AFINN |
| 83 | 1 | AFINN |
| 84 | -2 | AFINN |
| 85 | -3 | AFINN |
| 86 | -7 | AFINN |
| 92 | 7 | AFINN |
| 93 | -11 | AFINN |
| 94 | -3 | AFINN |
| 95 | 3 | AFINN |
bing_and_nrc <- bind_rows(tokens %>%
inner_join(get_sentiments("bing")) %>%
mutate(method = "Bing et al."),
tokens %>%
inner_join(get_sentiments("nrc") %>% #因為nrc有各種分類，所以要先過濾出正負面的單字
filter(sentiment %in% c("positive",
"negative"))) %>%
mutate(method = "NRC")) %>%
count(method, start_minute, sentiment) %>% #依照方式、每分鐘分群計算正負面各多少個
spread(sentiment, n, fill = 0) %>% #將正負面情緒變成欄位以便計算情緒分數
mutate(sentiment = positive - negative)
#bing和nrc結果
kable(bing_and_nrc) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| method | start_minute | negative | positive | sentiment |
|---|---|---|---|---|
| Bing et al. | 0 | 4 | 1 | -3 |
| Bing et al. | 1 | 4 | 4 | 0 |
| Bing et al. | 2 | 3 | 2 | -1 |
| Bing et al. | 3 | 3 | 0 | -3 |
| Bing et al. | 4 | 0 | 6 | 6 |
| Bing et al. | 5 | 1 | 2 | 1 |
| Bing et al. | 7 | 2 | 0 | -2 |
| Bing et al. | 8 | 0 | 1 | 1 |
| Bing et al. | 9 | 1 | 3 | 2 |
| Bing et al. | 10 | 3 | 1 | -2 |
| Bing et al. | 11 | 1 | 1 | 0 |
| Bing et al. | 13 | 1 | 0 | -1 |
| Bing et al. | 14 | 0 | 2 | 2 |
| Bing et al. | 15 | 1 | 0 | -1 |
| Bing et al. | 16 | 5 | 2 | -3 |
| Bing et al. | 17 | 1 | 0 | -1 |
| Bing et al. | 18 | 1 | 0 | -1 |
| Bing et al. | 19 | 1 | 0 | -1 |
| Bing et al. | 20 | 4 | 2 | -2 |
| Bing et al. | 22 | 1 | 0 | -1 |
| Bing et al. | 23 | 1 | 1 | 0 |
| Bing et al. | 25 | 0 | 1 | 1 |
| Bing et al. | 26 | 2 | 1 | -1 |
| Bing et al. | 27 | 7 | 0 | -7 |
| Bing et al. | 28 | 1 | 0 | -1 |
| Bing et al. | 29 | 1 | 1 | 0 |
| Bing et al. | 30 | 3 | 3 | 0 |
| Bing et al. | 32 | 0 | 3 | 3 |
| Bing et al. | 33 | 1 | 0 | -1 |
| Bing et al. | 34 | 3 | 0 | -3 |
| Bing et al. | 35 | 2 | 1 | -1 |
| Bing et al. | 36 | 0 | 2 | 2 |
| Bing et al. | 37 | 0 | 3 | 3 |
| Bing et al. | 38 | 4 | 8 | 4 |
| Bing et al. | 39 | 2 | 2 | 0 |
| Bing et al. | 40 | 3 | 1 | -2 |
| Bing et al. | 41 | 0 | 2 | 2 |
| Bing et al. | 42 | 0 | 5 | 5 |
| Bing et al. | 46 | 3 | 0 | -3 |
| Bing et al. | 47 | 1 | 2 | 1 |
| Bing et al. | 48 | 1 | 3 | 2 |
| Bing et al. | 49 | 3 | 1 | -2 |
| Bing et al. | 50 | 1 | 2 | 1 |
| Bing et al. | 51 | 5 | 1 | -4 |
| Bing et al. | 53 | 1 | 1 | 0 |
| Bing et al. | 54 | 3 | 0 | -3 |
| Bing et al. | 55 | 2 | 1 | -1 |
| Bing et al. | 56 | 2 | 1 | -1 |
| Bing et al. | 57 | 2 | 2 | 0 |
| Bing et al. | 59 | 0 | 1 | 1 |
| Bing et al. | 60 | 2 | 7 | 5 |
| Bing et al. | 61 | 1 | 2 | 1 |
| Bing et al. | 62 | 2 | 1 | -1 |
| Bing et al. | 63 | 5 | 1 | -4 |
| Bing et al. | 64 | 5 | 2 | -3 |
| Bing et al. | 65 | 3 | 2 | -1 |
| Bing et al. | 66 | 4 | 2 | -2 |
| Bing et al. | 67 | 6 | 1 | -5 |
| Bing et al. | 68 | 5 | 8 | 3 |
| Bing et al. | 70 | 1 | 0 | -1 |
| Bing et al. | 71 | 0 | 3 | 3 |
| Bing et al. | 72 | 4 | 1 | -3 |
| Bing et al. | 73 | 0 | 1 | 1 |
| Bing et al. | 74 | 5 | 1 | -4 |
| Bing et al. | 75 | 1 | 1 | 0 |
| Bing et al. | 76 | 2 | 0 | -2 |
| Bing et al. | 77 | 0 | 1 | 1 |
| Bing et al. | 78 | 1 | 1 | 0 |
| Bing et al. | 79 | 3 | 1 | -2 |
| Bing et al. | 80 | 5 | 0 | -5 |
| Bing et al. | 81 | 2 | 0 | -2 |
| Bing et al. | 82 | 0 | 2 | 2 |
| Bing et al. | 84 | 1 | 0 | -1 |
| Bing et al. | 85 | 1 | 0 | -1 |
| Bing et al. | 86 | 5 | 0 | -5 |
| Bing et al. | 92 | 0 | 2 | 2 |
| Bing et al. | 93 | 5 | 0 | -5 |
| Bing et al. | 94 | 1 | 0 | -1 |
| NRC | 0 | 3 | 3 | 0 |
| NRC | 1 | 5 | 9 | 4 |
| NRC | 2 | 4 | 3 | -1 |
| NRC | 3 | 2 | 0 | -2 |
| NRC | 4 | 1 | 10 | 9 |
| NRC | 5 | 2 | 5 | 3 |
| NRC | 6 | 0 | 1 | 1 |
| NRC | 7 | 1 | 2 | 1 |
| NRC | 8 | 0 | 2 | 2 |
| NRC | 9 | 0 | 4 | 4 |
| NRC | 10 | 2 | 5 | 3 |
| NRC | 11 | 1 | 3 | 2 |
| NRC | 13 | 2 | 4 | 2 |
| NRC | 14 | 0 | 5 | 5 |
| NRC | 16 | 8 | 10 | 2 |
| NRC | 17 | 1 | 0 | -1 |
| NRC | 18 | 3 | 1 | -2 |
| NRC | 19 | 1 | 0 | -1 |
| NRC | 20 | 4 | 1 | -3 |
| NRC | 22 | 1 | 1 | 0 |
| NRC | 23 | 1 | 2 | 1 |
| NRC | 24 | 0 | 1 | 1 |
| NRC | 25 | 0 | 2 | 2 |
| NRC | 26 | 5 | 5 | 0 |
| NRC | 27 | 10 | 1 | -9 |
| NRC | 28 | 1 | 0 | -1 |
| NRC | 29 | 2 | 1 | -1 |
| NRC | 30 | 4 | 7 | 3 |
| NRC | 32 | 0 | 3 | 3 |
| NRC | 33 | 0 | 1 | 1 |
| NRC | 34 | 2 | 2 | 0 |
| NRC | 35 | 1 | 2 | 1 |
| NRC | 36 | 0 | 6 | 6 |
| NRC | 37 | 1 | 6 | 5 |
| NRC | 38 | 4 | 14 | 10 |
| NRC | 39 | 2 | 6 | 4 |
| NRC | 40 | 4 | 2 | -2 |
| NRC | 42 | 1 | 5 | 4 |
| NRC | 43 | 1 | 0 | -1 |
| NRC | 46 | 1 | 1 | 0 |
| NRC | 47 | 4 | 3 | -1 |
| NRC | 48 | 3 | 1 | -2 |
| NRC | 50 | 0 | 2 | 2 |
| NRC | 51 | 5 | 5 | 0 |
| NRC | 53 | 1 | 4 | 3 |
| NRC | 54 | 3 | 2 | -1 |
| NRC | 55 | 2 | 1 | -1 |
| NRC | 56 | 2 | 4 | 2 |
| NRC | 57 | 3 | 1 | -2 |
| NRC | 58 | 0 | 1 | 1 |
| NRC | 59 | 1 | 2 | 1 |
| NRC | 60 | 2 | 3 | 1 |
| NRC | 61 | 2 | 3 | 1 |
| NRC | 62 | 1 | 5 | 4 |
| NRC | 63 | 5 | 1 | -4 |
| NRC | 64 | 7 | 5 | -2 |
| NRC | 65 | 6 | 10 | 4 |
| NRC | 66 | 4 | 3 | -1 |
| NRC | 67 | 6 | 6 | 0 |
| NRC | 68 | 5 | 11 | 6 |
| NRC | 70 | 0 | 2 | 2 |
| NRC | 71 | 0 | 1 | 1 |
| NRC | 72 | 4 | 3 | -1 |
| NRC | 73 | 0 | 1 | 1 |
| NRC | 74 | 6 | 1 | -5 |
| NRC | 75 | 2 | 3 | 1 |
| NRC | 76 | 2 | 3 | 1 |
| NRC | 77 | 1 | 1 | 0 |
| NRC | 78 | 1 | 3 | 2 |
| NRC | 79 | 2 | 2 | 0 |
| NRC | 80 | 5 | 2 | -3 |
| NRC | 81 | 0 | 4 | 4 |
| NRC | 82 | 3 | 2 | -1 |
| NRC | 83 | 2 | 2 | 0 |
| NRC | 84 | 2 | 0 | -2 |
| NRC | 85 | 1 | 0 | -1 |
| NRC | 86 | 6 | 1 | -5 |
| NRC | 91 | 0 | 1 | 1 |
| NRC | 92 | 0 | 7 | 7 |
| NRC | 93 | 5 | 0 | -5 |
| NRC | 94 | 2 | 3 | 1 |
| NRC | 95 | 0 | 1 | 1 |
bind_rows(afinn,
bing_and_nrc,
sentimentr_movie %>%
mutate(method = "sentimentr"))%>%
ggplot(aes(start_minute, sentiment, fill = method)) +
geom_col(show.legend = FALSE) +
facet_wrap(~method, ncol = 1, scales = "free_y")+
labs(x="分鐘", y="情緒分數")
說明:
這4種方式結果相似
使用nrc的情緒詞彙分類分析
tokens %>%
inner_join(get_sentiments("nrc") %>% #因為nrc有各種分類，所以要先過濾出正負面的單字
filter(sentiment %in% c("anger","surprise","joy","disgust","fear","sadness","trust","anticipation"))) %>%
count(start_minute,sentiment) %>%
ggplot(aes(x=start_minute,y=n,colour=sentiment))+
geom_line()+
facet_wrap(~sentiment, ncol = 2, scales = "free_y") +
labs(x = "分鐘", y="個數")
說明:
運用NRC裡的情緒詞彙分類(sadness、anger…)看說不同時間點，不同分類的數量變化與差異
使用coreNLP分析
資料整理function (code by CEO Chin) -把coreNLP分析出來的物件轉換成tidydata格式的function
從回傳的object中整理斷詞出結果，輸出為 tidydata 格式
coreNLP_tokens_parser <- function(coreNLP_objects){
result <- do.call(rbind, lapply(coreNLP_objects, function(obj){
original_data <- obj$data
doc <- obj$doc
# for a sentences
sentences <- doc$sentences
sen <- sentences[[1]]
tokens <- do.call(rbind, lapply(sen$tokens, function(x){
result <- data.frame(word=x$word, lemma=x$lemma, pos=x$pos, ner=x$ner)
result
}))
tokens <- original_data %>%
t() %>%
data.frame() %>%
select(-text) %>%
slice(rep(1:n(), each = nrow(tokens))) %>%
bind_cols(tokens)
tokens
}))
return(result)
}從回傳的core-nlp object中整理出詞彙依存關係，輸出為 tidydata 格式
coreNLP_dependency_parser <- function(coreNLP_objects){
result <- do.call(rbind, lapply(coreNLP_objects, function(obj){
original_data <- obj$data
doc <- obj$doc
# for a sentences
sentences <- doc$sentences
sen <- sentences[[1]]
dependencies <- do.call(rbind, lapply(sen$basicDependencies, function(x){
result <- data.frame(dep=x$dep, governor=x$governor, governorGloss=x$governorGloss, dependent=x$dependent, dependentGloss=x$dependentGloss)
result
}))
dependencies <- original_data %>%
t() %>%
data.frame() %>%
select(-text) %>%
slice(rep(1:n(), each = nrow(dependencies))) %>%
bind_cols(dependencies)
dependencies
}))
return(result)
}從回傳的core-nlp object中整理出語句情緒，輸出為 tidydata 格式
coreNLP_sentiment_parser <- function(coreNLP_objects){
result <- do.call(rbind, lapply(coreNLP_objects, function(obj){
original_data <- obj$data
doc <- obj$doc
# for a sentences
sentences <- doc$sentences
sen <- sentences[[1]]
sentiment <- original_data %>%
t() %>%
data.frame() %>%
bind_cols(data.frame(sentiment=sen$sentiment, sentimentValue=sen$sentimentValue))
sentiment
}))
return(result)
}載入coreNLP跑完的資料
load("coreNLP_HW2.RData")從回傳的物件中提取斷詞、詞彙還原、詞性標註、命名實體標註等結果
斷詞
movie_tokens = coreNLP_tokens_parser(movie_obj)
#斷詞後結果(列出50筆)
kable(head(movie_tokens,50)) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| id | word | lemma | pos | ner |
|---|---|---|---|---|
| 1 | We’ve | we’ve | NN | O |
| 1 | become | become | VBP | O |
| 1 | bored | bore | VBN | O |
| 1 | with | with | IN | O |
| 1 | watching | watch | VBG | O |
| 1 | actors | actor | NNS | O |
| 1 | give | give | VBP | O |
| 1 | us | we | PRP | O |
| 1 | phony | phony | JJ | O |
| 1 | emotions. | emotions. | NN | O |
| 2 | We’re | we’re | RB | O |
| 2 | tired | tire | VBN | O |
| 2 | of | of | IN | O |
| 2 | pyrotechnics | pyrotechnics | NNS | O |
| 2 | and | and | CC | O |
| 2 | special | special | JJ | O |
| 2 | effects. | effects. | NN | O |
| 3 | While | while | IN | O |
| 3 | the | the | DT | O |
| 3 | world | world | NN | O |
| 3 | he | he | PRP | O |
| 3 | inhabits | inhabit | VBZ | O |
| 3 | is, | is, | RB | O |
| 3 | in | in | IN | O |
| 3 | some | some | DT | O |
| 3 | respects, | respects, | JJ | O |
| 3 | counterfeit, | counterfeit, | NN | O |
| 4 | there’s | there’s | RB | O |
| 4 | nothing | nothing | NN | O |
| 4 | fake | fake | JJ | O |
| 4 | about | about | IN | O |
| 4 | Truman | Truman | NNP | PERSON |
| 4 | himself. | himself. | NNP | O |
| 5 | No | no | DT | O |
| 5 | scripts, | scripts, | NN | O |
| 5 | no | no | DT | O |
| 5 | cue | cue | NN | O |
| 5 | cards. | cards. | NN | O |
| 6 | It | it | PRP | O |
| 6 | isn’t | isn’t | VBZ | O |
| 6 | always | always | RB | O |
| 6 | Shakespeare, | shakespeare, | JJ | O |
| 6 | but | but | CC | O |
| 6 | it’s | it’s | JJ | O |
| 6 | genuine. | genuine. | NN | O |
| 7 | It’s | it’ | NNS | O |
| 7 | a | a | DT | O |
| 7 | life. | life. | NN | O |
| 8 | I’m | i’m | NN | O |
| 8 | not | not | RB | O |
斷詞後的ner(實體)
#結果
levels(movie_tokens$ner)## [1] "O" "PERSON" "TIME" "NUMBER"
## [5] "LOCATION" "COUNTRY" "CITY" "DATE"
## [9] "DURATION" "TITLE" "MISC" "ORGANIZATION"
## [13] "CAUSE_OF_DEATH" "ORDINAL"轉換成小寫
movie_tokens$lower_word = tolower(movie_tokens$word)
movie_tokens$lower_lemma = tolower(movie_tokens$lemma)繪製出person實體的詞頻的長條圖
movie_tokens %>%
filter(ner == "PERSON") %>% #篩選NER為PERSION
group_by(lower_word) %>% #根據word分組
summarize(count = n()) %>% #計算每組
top_n(n = 15, count) %>%
ungroup() %>%
mutate(lower_word = reorder(lower_word, count)) %>%
ggplot(aes(lower_word, count)) +
geom_col()+
ggtitle("Word Frequency (NER is PERSON)") +
theme(text=element_text(size=14))+
labs(x = "詞彙", y="個數")+
coord_flip() 
說明:
在人物中，楚門是主角，所以詞頻最高，再來是他最好的朋友marlon跟他爸kirk
繪製出location實體的詞頻的長條圖
movie_tokens %>%
filter(ner == "LOCATION") %>% #篩選NER為COUNTRY
group_by(lower_word) %>% #根據word分組
summarize(count = n()) %>% #計算每組
top_n(n = 10, count) %>%
ungroup() %>%
mutate(lower_word = reorder(lower_word, count)) %>%
ggplot(aes(lower_word, count)) +
geom_col()+
ggtitle("Word Frequency (NER is LOCATION)") +
theme(text=element_text(size=14))+
labs(x = "詞彙", y="個數")+
coord_flip()
說明:
seahaven是楚門生活的所在，因此個數最多
語句依存關係結果
movie_dependencies = coreNLP_dependency_parser(movie_obj)
#結果(列出20筆)
kable(head(movie_dependencies,20)) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| id | dep | governor | governorGloss | dependent | dependentGloss |
|---|---|---|---|---|---|
| 1 | ROOT | 0 | ROOT | 2 | become |
| 1 | nsubj | 2 | become | 1 | We’ve |
| 1 | xcomp | 2 | become | 3 | bored |
| 1 | mark | 5 | watching | 4 | with |
| 1 | advcl | 3 | bored | 5 | watching |
| 1 | nsubj | 7 | give | 6 | actors |
| 1 | ccomp | 5 | watching | 7 | give |
| 1 | iobj | 7 | give | 8 | us |
| 1 | amod | 10 | emotions. | 9 | phony |
| 1 | dobj | 7 | give | 10 | emotions. |
| 2 | ROOT | 0 | ROOT | 2 | tired |
| 2 | advmod | 2 | tired | 1 | We’re |
| 2 | case | 4 | pyrotechnics | 3 | of |
| 2 | nmod | 2 | tired | 4 | pyrotechnics |
| 2 | cc | 4 | pyrotechnics | 5 | and |
| 2 | amod | 7 | effects. | 6 | special |
| 2 | conj | 4 | pyrotechnics | 7 | effects. |
| 3 | ROOT | 0 | ROOT | 5 | inhabits |
| 3 | mark | 5 | inhabits | 1 | While |
| 3 | det | 3 | world | 2 | the |
語句情緒值
movie_sentiment = coreNLP_sentiment_parser(movie_obj)
#結果
kable(movie_sentiment) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| id | text | sentiment | sentimentValue |
|---|---|---|---|
| 1 | We’ve become bored with watching actors give us phony emotions. | Negative | 1 |
| 2 | We’re tired of pyrotechnics and special effects. | Negative | 1 |
| 3 | While the world he inhabits is, in some respects, counterfeit, | Neutral | 2 |
| 4 | there’s nothing fake about Truman himself. | Negative | 1 |
| 5 | No scripts, no cue cards. | Negative | 1 |
| 6 | It isn’t always Shakespeare, but it’s genuine. | Neutral | 2 |
| 7 | It’s a life. | Neutral | 2 |
| 8 | I’m not going to make it. | Negative | 1 |
| 9 | You’re going to have to go on without me. | Neutral | 2 |
| 10 | No way, mister. | Neutral | 2 |
| 11 | You’re going to the top of this mountain, broken legs and all. | Negative | 1 |
| 12 | We find many viewers leave him on all night for comfort. | Negative | 1 |
| 13 | You’re crazy, you know that? | Negative | 1 |
| 14 | For me, there is no difference between a private life and a public life. | Neutral | 2 |
| 15 | My life, is my life, is The Truman Show. | Negative | 1 |
| 16 | The Truman Show is a lifestyle. | Neutral | 2 |
| 17 | It’s a noble life. It is… | Positive | 3 |
| 18 | …a truly blessed life. | Neutral | 2 |
| 19 | Yeah, tell me something I don’t know. | Negative | 1 |
| 20 | All right. Promise me one thing, though. | Negative | 1 |
| 21 | If I die before I reach the summit, | Negative | 1 |
| 22 | you’ll use me as an alternative source of food. | Negative | 1 |
| 23 | Gross. | Neutral | 2 |
| 24 | It’s all true. It’s all real. | Neutral | 2 |
| 25 | Nothing here is fake. Nothing you see on this show is fake. | Negative | 1 |
| 26 | It’s merely controlled. | Neutral | 2 |
| 27 | Eat me, damn it. That’s an order. | Negative | 1 |
| 28 | Maybe just your love handles. | Neutral | 2 |
| 29 | I have love handles? Yeah. Little ones. | Neutral | 2 |
| 30 | Truman. You’re going to be late. | Neutral | 2 |
| 31 | Okay! | Neutral | 2 |
| 32 | Good morning. Morning. | Positive | 3 |
| 33 | Good morning. | Positive | 3 |
| 34 | In case I don’t see you, good afternoon, good evening, and good night. | Positive | 3 |
| 35 | Yeah. | Neutral | 2 |
| 36 | Morning, Truman. Morning, Spencer. | Neutral | 2 |
| 37 | Hey, Pluto. No, get down. | Negative | 1 |
| 38 | He won’t hurt you. Get down. | Negative | 1 |
| 39 | I know. | Neutral | 2 |
| 40 | It’s just me. Come on, Pluto. | Negative | 1 |
| 41 | What is it? | Neutral | 2 |
| 42 | Here’s a news flash just in. An aircraft in trouble began shedding parts | Negative | 1 |
| 43 | as it flew over Seahaven just a few moments ago. | Negative | 1 |
| 44 | Luckily, no one was hurt. | Negative | 1 |
| 45 | But, hey, how do you feel today? | Neutral | 2 |
| 46 | That’s good. You thinking of flying somewhere? | Neutral | 2 |
| 47 | Nope. No? Good. | Neutral | 2 |
| 48 | This is Classical Clive with Classical Drive | Negative | 1 |
| 49 | so why don’t you forget about the perils of fiying, | Neutral | 2 |
| 50 | settle back, and let this music calm you down? | Neutral | 2 |
| 51 | Dog Fancy, please. Dog Fancy. | Neutral | 2 |
| 52 | Thank you very much. Thank you very much. | Positive | 3 |
| 53 | Give me a paper there, will you, Earl? | Negative | 1 |
| 54 | And one of these for the wife. | Neutral | 2 |
| 55 | Loves her fashion mags. | Neutral | 2 |
| 56 | Will that be all for you, Truman? | Neutral | 2 |
| 57 | That’s the whole kit and caboodle. Catch you later. | Positive | 3 |
| 58 | Okay. Yeah. | Neutral | 2 |
| 59 | Good morning. | Positive | 3 |
| 60 | Hank. Morning, Truman. | Neutral | 2 |
| 61 | Good morning, Truman. How are you guys? | Neutral | 2 |
| 62 | Beautiful day, isn’t it? Always. | Positive | 3 |
| 63 | And how’s your lovely wife? | Positive | 3 |
| 64 | Good. How about yours? | Neutral | 2 |
| 65 | Couldn’t be better. Fine. | Neutral | 2 |
| 66 | Nice talking to you, Truman. You, too. | Neutral | 2 |
| 67 | We must go now. | Negative | 1 |
| 68 | Think about that policy. Okay, that’s two for one. That’s a good deal. | Positive | 3 |
| 69 | Doppelganger special. Right. | Neutral | 2 |
| 70 | Hi. | Neutral | 2 |
| 71 | Hey, fellows. You going in? Go ahead. | Negative | 1 |
| 72 | Go ahead. No, you first, please. | Neutral | 2 |
| 73 | I’m not that anxious to get there. | Neutral | 2 |
| 74 | Yes, hello. | Neutral | 2 |
| 75 | Could I have directory assistance for Fiji, please? Fiji islands. | Negative | 1 |
| 76 | Truman, did you see this? | Neutral | 2 |
| 77 | I’m sorry, ma’am. | Neutral | 2 |
| 78 | If he’s in a coma, he’s probably uninsurable. | Negative | 1 |
| 79 | Hello? Yes. Fiji, please. | Neutral | 2 |
| 80 | Do you have a listing for Lauren Garland? | Negative | 1 |
| 81 | Nothing listed? | Neutral | 2 |
| 82 | Okay. Do you have a Sylvia Garland? | Neutral | 2 |
| 83 | “S” for Sylvia. | Neutral | 2 |
| 84 | Nothing? | Neutral | 2 |
| 85 | Okay. Thank you. | Neutral | 2 |
| 86 | Lawrence. Hey, Burbank. | Neutral | 2 |
| 87 | Got a prospect in Wells Park I need you to close. | Neutral | 2 |
| 88 | Wells Park? | Neutral | 2 |
| 89 | On Harbor Island? You know another one? | Negative | 1 |
| 90 | I can’t do it. I have an appointment. Dentist. | Negative | 1 |
| 91 | You’re going to lose a lot more than your teeth if you don’t meet your quota. | Negative | 1 |
| 92 | Look, Truman, | Neutral | 2 |
| 93 | they’re making cutbacks at the end of this month. | Neutral | 2 |
| 94 | Cutbacks? Yeah. Now, you need this. | Negative | 1 |
| 95 | Besides, a halfhour across the bay, a little sea air would do you good. | Negative | 1 |
| 96 | Thanks. | Neutral | 2 |
| 97 | Hello. | Neutral | 2 |
| 98 | Ferry’s still here. Thought I might have missed it. | Negative | 1 |
| 99 | Oneway or return? | Neutral | 2 |
| 100 | Return. | Neutral | 2 |
| 101 | There you go, sir. | Positive | 3 |
| 102 | Do you need any help, sir? You go ahead. I’ll be fine. | Negative | 1 |
| 103 | Yeah. | Neutral | 2 |
| 104 | Hi, honey. | Neutral | 2 |
| 105 | Look what I got free at the checkout. | Neutral | 2 |
| 106 | It’s a Chef’s Pal. It’s a dicer, grater, peeler, all in one. | Negative | 1 |
| 107 | Never needs sharpening, dishwashersafe. | Negative | 1 |
| 108 | Wow! | Neutral | 2 |
| 109 | That’s amazing. | Neutral | 2 |
| 110 | Truman, | Neutral | 2 |
| 111 | you missed a spot. | Negative | 1 |
| 112 | That is a beer. | Neutral | 2 |
| 113 | You know, I’m thinking about getting out, Marlon. | Neutral | 2 |
| 114 | Yeah? Out of what? | Positive | 3 |
| 115 | Out of my job, out of Seahaven. | Neutral | 2 |
| 116 | Off this island. Out. Out of your job? | Negative | 1 |
| 117 | What the hell’s wrong with your job? You have a great job, Truman. | Negative | 1 |
| 118 | You have a desk job. I’d kill for a desk job. | Negative | 1 |
| 119 | Here you go. | Neutral | 2 |
| 120 | You should try stocking vending machines for a living. | Negative | 1 |
| 121 | No, thanks. Now there’s excitement. | Neutral | 2 |
| 122 | Don’t you ever get antsy? Itchy feet? | Neutral | 2 |
| 123 | Where’s there to go? | Neutral | 2 |
| 124 | Fiji. | Neutral | 2 |
| 125 | Where the hell’s Fiji? Near Florida? | Negative | 1 |
| 126 | See here? Yeah. | Positive | 3 |
| 127 | This is us, | Neutral | 2 |
| 128 | and all the way around here, | Neutral | 2 |
| 129 | Fiji. | Neutral | 2 |
| 130 | You can’t get any further away before you start coming back. | Negative | 1 |
| 131 | You know, there are still islands in Fiji | Neutral | 2 |
| 132 | where no human being has ever set foot. | Negative | 1 |
| 133 | So when are you going to go? | Positive | 3 |
| 134 | It’s not that simple. | Neutral | 2 |
| 135 | It takes money, | Neutral | 2 |
| 136 | planning. | Neutral | 2 |
| 137 | I can’t just up and go. | Neutral | 2 |
| 138 | Right. | Neutral | 2 |
| 139 | I’m going to do it. Don’t worry about that. | Neutral | 2 |
| 140 | Bonus time is just around the corner. | Neutral | 2 |
| 141 | You coming for a drink? No, I can’t tonight. | Negative | 1 |
| 142 | I don’t like the look of that weather, son. I think we should head back. | Negative | 1 |
| 143 | No, Dad. Not yet. No, come on. We should go back. | Negative | 1 |
| 144 | A bit farther, please? Son, listen. | Neutral | 2 |
| 145 | Okay. Yes. | Neutral | 2 |
| 146 | Daddy! | Neutral | 2 |
| 147 | You’re soaked. Where have you been? | Negative | 1 |
| 148 | I figure we can scrape together $8,000… | Negative | 1 |
| 149 | Every time you and Marlon get together… | Neutral | 2 |
| 150 | We can bum around the world for a year on that. | Negative | 1 |
| 151 | And then what, Truman? We’d be where we were five years ago. | Negative | 1 |
| 152 | You’re talking like a teenager. Maybe I feel like a teenager. | Negative | 1 |
| 153 | We have mortgage payments, Truman. | Negative | 1 |
| 154 | We have car payments. | Negative | 1 |
| 155 | What, we’re just going to walk away from our financial obligations? | Negative | 1 |
| 156 | It would be an adventure. | Neutral | 2 |
| 157 | I thought we were going to try for a baby. Isn’t that enough of an adventure? | Negative | 1 |
| 158 | That can wait. I want to get away. | Negative | 1 |
| 159 | See some of the world, explore. | Positive | 3 |
| 160 | Honey, you want to be an explorer? | Neutral | 2 |
| 161 | This’ll pass. | Neutral | 2 |
| 162 | We all think like this now and then. | Negative | 1 |
| 163 | Let’s get you out of these wet clothes, | Neutral | 2 |
| 164 | come to bed. | Neutral | 2 |
| 165 | You never see anything anyway. They always | Neutral | 2 |
| 166 | turn the camera and play music and, | Neutral | 2 |
| 167 | you know, the wind blows in, and the curtains move | Neutral | 2 |
| 168 | and you don’t see anything. | Neutral | 2 |
| 169 | Dog Fancy, please. Dog Fancy. | Neutral | 2 |
| 170 | Thank you. | Neutral | 2 |
| 171 | Paper, Earl, please. Paper. | Neutral | 2 |
| 172 | I might as well pick one of these up while I’m at it. | Neutral | 2 |
| 173 | For the wife? She’s got to have them. | Neutral | 2 |
| 174 | Anything else, Truman? That’s the whole ball of wax. | Negative | 1 |
| 175 | Catch you later. Okay. | Neutral | 2 |
| 176 | Dad? | Neutral | 2 |
| 177 | What are you doing? | Neutral | 2 |
| 178 | What the… Get out of the way! | Neutral | 2 |
| 179 | Stop them! | Neutral | 2 |
| 180 | Stop those people! | Neutral | 2 |
| 181 | Open the doors! Somebody, stop the bus! | Negative | 1 |
| 182 | Stop the bus! Somebody, stop it! | Neutral | 2 |
| 183 | Somebody, stop the bus! | Neutral | 2 |
| 184 | And wasn’t it funny… | Positive | 3 |
| 185 | It doesn’t sound insane at all, Truman. | Negative | 1 |
| 186 | I see him 10 times a week in 100 different faces. | Neutral | 2 |
| 187 | I almost hugged a perfect stranger in the salon last Thursday. | Neutral | 2 |
| 188 | It was Dad. I swear. Dressed like a homeless man. | Negative | 1 |
| 189 | And you know what else was strange? | Neutral | 2 |
| 190 | A businessman and a woman with a little dog | Neutral | 2 |
| 191 | came out of nowhere and forced him onto a bus. | Negative | 1 |
| 192 | It’s about time they cleaned up the trash downtown | Negative | 1 |
| 193 | before we become just like the rest of the country. | Neutral | 2 |
| 194 | They never found Dad’s body. Maybe somehow… | Neutral | 2 |
| 195 | God! | Neutral | 2 |
| 196 | I’m telling you, if it wasn’t him, it was his twin. | Negative | 1 |
| 197 | Did Dad have a brother? Truman, you know perfectly well | Neutral | 2 |
| 198 | that your father was an only child, just like you. | Negative | 1 |
| 199 | Now, sweetie, | Neutral | 2 |
| 200 | you’re just feeling bad because of what happened. | Negative | 1 |
| 201 | You, sailing off into that storm. | Negative | 1 |
| 202 | But I’ve never blamed you, Truman, | Negative | 1 |
| 203 | and I don’t blame you now. | Neutral | 2 |
| 204 | Truman? | Neutral | 2 |
| 205 | What are you doing down here? | Neutral | 2 |
| 206 | Fixing the mower. | Neutral | 2 |
| 207 | Saw my father today. I know. | Negative | 1 |
| 208 | Your mother called. | Neutral | 2 |
| 209 | You really shouldn’t upset her like that. | Negative | 1 |
| 210 | Did you want… What did you want? | Neutral | 2 |
| 211 | I made macaroni. | Neutral | 2 |
| 212 | I’m not hungry. | Neutral | 2 |
| 213 | You know, you really ought to throw out that mower. | Neutral | 2 |
| 214 | Get one of those new Elk Rotaries. | Neutral | 2 |
| 215 | What’s he doing? | Neutral | 2 |
| 216 | See, they got rid of her, but they couldn’t erase the memory. | Negative | 1 |
| 217 | The memory of who? | Neutral | 2 |
| 218 | You okay? You all right? Excuse me. Hi. | Negative | 1 |
| 219 | Hi. I’m so sorry I fell on you like that. | Negative | 1 |
| 220 | It’s okay. I’ve just been such a klutz all day. | Negative | 1 |
| 221 | It’s all right. | Neutral | 2 |
| 222 | Sprained this ankle. Oh, my goodness. I’m so sorry. | Negative | 1 |
| 223 | I’m so sorry to fall on you like that. That’s all right. Don’t worry about it. | Negative | 1 |
| 224 | I’m Meryl. Hi, I’m Truman. | Neutral | 2 |
| 225 | Hey, nice to meet you. | Positive | 3 |
| 226 | Truman, you’ve studied enough. No. I got to commit this to memory. | Negative | 1 |
| 227 | Come on, Truman, one icecold brewski. | Negative | 1 |
| 228 | Come on. | Neutral | 2 |
| 229 | You’re going to have to copy off me, so be careful. | Negative | 1 |
| 230 | You’re a better person than I am. | Negative | 1 |
| 231 | See you later. Okay. | Positive | 3 |
| 232 | Bye. Bye. | Neutral | 2 |
| 233 | See you later, loser. | Positive | 3 |
| 234 | Hi. | Neutral | 2 |
| 235 | Konnichiwa. What? | Neutral | 2 |
| 236 | You take Japanese. | Neutral | 2 |
| 237 | Yes. | Neutral | 2 |
| 238 | Lauren, right? | Neutral | 2 |
| 239 | It’s on the… | Neutral | 2 |
| 240 | Lauren. Right. | Neutral | 2 |
| 241 | I’m Truman Burbank. | Neutral | 2 |
| 242 | Yeah, I know. | Neutral | 2 |
| 243 | You know, Truman, I’m not allowed to talk to you. | Negative | 1 |
| 244 | Really? | Neutral | 2 |
| 245 | Yeah. I can understand that. I’m a pretty dangerous character. | Negative | 1 |
| 246 | I’m sorry. It’s not up to me. | Negative | 1 |
| 247 | A girl’s got to be careful. | Positive | 3 |
| 248 | You have a boyfriend, right? No, it’s not that. | Negative | 1 |
| 249 | Was it Meryl, that girl that was with me? We’re not… We don’t… | Negative | 1 |
| 250 | We’re just friends. | Neutral | 2 |
| 251 | It’s nothing like that. It’s how I look? | Negative | 1 |
| 252 | Not your type? | Neutral | 2 |
| 253 | No. | Negative | 1 |
| 254 | I like your pin. | Neutral | 2 |
| 255 | I was wondering that myself. | Neutral | 2 |
| 256 | Would you want to maybe, possibly, | Neutral | 2 |
| 257 | sometime go out for some pizza or something? | Neutral | 2 |
| 258 | Like, Friday? | Neutral | 2 |
| 259 | Saturday? I can’t. | Neutral | 2 |
| 260 | Sunday, Monday, Tuesday? | Neutral | 2 |
| 261 | We have finals tomorrow. Yeah, I know. | Negative | 1 |
| 262 | If we don’t go now, it won’t happen. | Neutral | 2 |
| 263 | Do you understand? So what do you want to do? | Negative | 1 |
| 264 | Please keep your hands inside the car! | Neutral | 2 |
| 265 | This is my favorite pizza place. | Verypositive | 4 |
| 266 | Tony! | Neutral | 2 |
| 267 | One large, extra plankton. | Positive | 3 |
| 268 | We have so little time. They’re going to be here any minute. | Negative | 1 |
| 269 | Who are? They don’t want me talking to you. | Neutral | 2 |
| 270 | Then don’t talk. | Neutral | 2 |
| 271 | They’re here. | Neutral | 2 |
| 272 | Truman. What do they want? | Neutral | 2 |
| 273 | Listen to me. Everybody knows about you. | Positive | 3 |
| 274 | Everybody knows everything you do. | Positive | 3 |
| 275 | They’re pretending, Truman. Do you understand? | Negative | 1 |
| 276 | Everybody’s pretending. I don’t know. | Negative | 1 |
| 277 | No, my name’s not Lauren. It’s Sylvia. | Negative | 1 |
| 278 | My name’s Sylvia. Sylvia? | Neutral | 2 |
| 279 | Yeah. Lauren, sweetheart, not again. | Negative | 1 |
| 280 | Wait a minute. Who are you? I’m her father. | Neutral | 2 |
| 281 | I’ve never even seen him before. We weren’t doing anything. | Negative | 1 |
| 282 | He’s lying. Truman, please don’t listen to him. | Positive | 3 |
| 283 | Everything I’ve told you is the truth. This, it’s fake. It’s all for you. | Negative | 1 |
| 284 | I don’t understand. The sky and sea, everything, it’s a set. | Negative | 1 |
| 285 | It’s a show. | Neutral | 2 |
| 286 | Everybody’s watching you. Please don’t listen to him. | Neutral | 2 |
| 287 | He’s going to lie to you. They’re watching us now. | Neutral | 2 |
| 288 | I want to know what’s going on. Schizophrenia. She has episodes. | Negative | 1 |
| 289 | We’ve tried everything. | Neutral | 2 |
| 290 | Hypnotism, shock therapy. Don’t worry. | Neutral | 2 |
| 291 | Truman! You’re not the first. | Neutral | 2 |
| 292 | You’re not the first. She brings all her boyfriends down here. | Neutral | 2 |
| 293 | What’s he saying? Truman, he’s lying. | Negative | 1 |
| 294 | Get out of here. Come and find me. Don’t worry. | Negative | 1 |
| 295 | We’re going to Fiji. Fiji. We’re moving to Fiji. | Negative | 1 |
| 296 | Fiji? | Neutral | 2 |
| 297 | Sylvia! | Neutral | 2 |
| 298 | Hey! | Neutral | 2 |
| 299 | Why didn’t he just follow her to Fiji? | Negative | 1 |
| 300 | His mother got sick, really sick. He couldn’t leave her. He’s kind. | Negative | 1 |
| 301 | Maybe he’s too kind. | Neutral | 2 |
| 302 | I can’t believe he married Meryl on the rebound. | Neutral | 2 |
| 303 | Excuse me. | Neutral | 2 |
| 304 | Come on, Sal. | Neutral | 2 |
| 305 | We’ve already got this on the greatest hits tape. | Positive | 3 |
| 306 | Can I borrow that? | Neutral | 2 |
| 307 | Close, but no cigar. | Negative | 1 |
| 308 | And it’s another beautifui day in paradise, folks, | Neutral | 2 |
| 309 | but don’t forget to buckle up out there in radioland. | Neutral | 2 |
| 310 | Remember, a good driver… | Positive | 3 |
| 311 | …wait for the cue. | Neutral | 2 |
| 312 | Stand by, one. | Neutral | 2 |
| 313 | Countdown to action. | Neutral | 2 |
| 314 | Stand by, one. | Neutral | 2 |
| 315 | He’s heading west on Stewart. Stand by, all extras. | Negative | 1 |
| 316 | He’ll be on you in about 90 seconds. Props, make sure the coffee’s hot. | Neutral | 2 |
| 317 | Okay, he’s making his turn onto Lancaster Square. | Negative | 1 |
| 318 | Oh, my God! He nearly hit her. | Negative | 1 |
| 319 | Something’s wrong. Change frequencies. | Neutral | 2 |
| 320 | Sorry about that, folks. | Neutral | 2 |
| 321 | I guess we picked up a police frequency or something. | Neutral | 2 |
| 322 | It sometimes happens, and it can drive you crazy. | Neutral | 2 |
| 323 | Okay, it’s Classical Clive back in here | Negative | 1 |
| 324 | and we’ve still got some great music up ahead, | Positive | 3 |
| 325 | but don’t forget to buckle up. | Neutral | 2 |
| 326 | Remember safety. A good driver is a safe driver. | Positive | 3 |
| 327 | A safe driver is what? Yes… | Negative | 1 |
| 328 | Morning, ma’am. | Neutral | 2 |
| 329 | I love that idea. It’s pretty cool, isn’t it? | Neutral | 2 |
| 330 | Can I help? | Neutral | 2 |
| 331 | Yeah. I have an appointment at Gable Enterprises. | Negative | 1 |
| 332 | They went bust. | Neutral | 2 |
| 333 | What’s happening? Nothing. | Neutral | 2 |
| 334 | Just tell me what’s happening. Got to go, sir. We’re remodeling. | Negative | 1 |
| 335 | No, you’re not. What are those people doing? | Negative | 1 |
| 336 | It’s none of your business! | Negative | 1 |
| 337 | If you don’t tell me what’s happening, I’ll report you! | Negative | 1 |
| 338 | You’re trespassing. | Neutral | 2 |
| 339 | Marlon. | Neutral | 2 |
| 340 | Truman. What are you doing here? I got to talk to you. | Negative | 1 |
| 341 | It’s a bad time, okay? I’m way behind. | Negative | 1 |
| 342 | I’m onto something, Marlon. Something big. | Positive | 3 |
| 343 | You okay? You look like shit. I think I’m mixed up in something. | Negative | 1 |
| 344 | Mixed up in what? | Neutral | 2 |
| 345 | There’s no point trying to explain it, | Negative | 1 |
| 346 | but a lot of strange things have been happening. | Negative | 1 |
| 347 | The people on the elevator. There was no backing on it. | Negative | 1 |
| 348 | I looked out. There was people there. | Negative | 1 |
| 349 | And on the radio on the way to work, it starts following me along, | Negative | 1 |
| 350 | talking about everything that I’m doing. | Neutral | 2 |
| 351 | Know what I mean? Truman, this is one of your fantasies… | Neutral | 2 |
| 352 | I think this is about my dad. | Neutral | 2 |
| 353 | Your dad? I think he’s alive. | Neutral | 2 |
| 354 | Yeah. I’ll tell you about it later. I’m definitely being followed. | Neutral | 2 |
| 355 | Who? | Neutral | 2 |
| 356 | It’s hard to tell. They look just like regular people. | Negative | 1 |
| 357 | How about those two? I don’t know. Could be. | Neutral | 2 |
| 358 | It’s when I’m unpredictable, that’s… They can’t, you know. | Neutral | 2 |
| 359 | Did anything happen? No. | Neutral | 2 |
| 360 | We gotta get out of here. You ready to go? | Negative | 1 |
| 361 | No. I just came here. Come on. | Negative | 1 |
| 362 | I told you I can’t. | Positive | 3 |
| 363 | You’re going to get both our asses fired, you know that? | Negative | 1 |
| 364 | Okay, man, let’s do it. What? | Negative | 1 |
| 365 | Whatever you say, I’m game. | Neutral | 2 |
| 366 | What are you talking about? Yes, sirree. | Neutral | 2 |
| 367 | Your birthday comes but once a year. | Neutral | 2 |
| 368 | Maybe I’m being set up for something. | Neutral | 2 |
| 369 | You ever think about that, Marlon? | Neutral | 2 |
| 370 | Like your whole life has been building toward something? | Neutral | 2 |
| 371 | No. | Negative | 1 |
| 372 | When you were hauling chickens in the summer for Kaiser, | Neutral | 2 |
| 373 | what was the furthest you ever got off the island? | Neutral | 2 |
| 374 | Went all over. Never found a place like this, though. | Negative | 1 |
| 375 | Look at that sunset, Truman. It’s perfect. | Neutral | 2 |
| 376 | Yeah. | Neutral | 2 |
| 377 | That’s the big guy. | Neutral | 2 |
| 378 | Quite a paintbrush he’s got. Yep. | Neutral | 2 |
| 379 | Just between you and me, Marlon, | Neutral | 2 |
| 380 | I’m going away for a while. | Neutral | 2 |
| 381 | Really? Yeah. | Neutral | 2 |
| 382 | Little angel. | Neutral | 2 |
| 383 | My little clown. | Neutral | 2 |
| 384 | Old carrot top. | Neutral | 2 |
| 385 | The best of both of us. | Positive | 3 |
| 386 | We should be getting you home, Mother. | Negative | 1 |
| 387 | Hold on a minute. Here’s us at Mt. Rushmore. | Neutral | 2 |
| 388 | Do you remember, Truman, when Dad was still with us? | Negative | 1 |
| 389 | That was quite a drive. You slept the whole way there. | Negative | 1 |
| 390 | It looks so small. | Neutral | 2 |
| 391 | Things always do when you look back, darling. | Positive | 3 |
| 392 | Look, Truman. | Neutral | 2 |
| 393 | The happiest day of our lives. Look. | Neutral | 2 |
| 394 | Jean, Jodie, Joanne. | Neutral | 2 |
| 395 | Doesn’t she look beautiful, Truman? | Neutral | 2 |
| 396 | She still does. | Positive | 3 |
| 397 | And there’s lots of pages left over for baby photos. | Negative | 1 |
| 398 | I would like to hold a grandchild in my arms before I go. | Negative | 1 |
| 399 | Angela, we really should be getting you home. | Neutral | 2 |
| 400 | I’ll take her. No. You stay, relax. | Negative | 1 |
| 401 | Enjoy yourself. Your favorite show will be coming on. | Positive | 3 |
| 402 | You sure? | Neutral | 2 |
| 403 | Besides, we have something to discuss. | Neutral | 2 |
| 404 | A certain person’s birthday. I see. | Positive | 3 |
| 405 | And there’ll be another episode of I Love Lucy same time tomorrow. | Negative | 1 |
| 406 | But right now, it’s time for Golden Oldies. | Positive | 3 |
| 407 | Tonight, we present the enduring, muchloved classic, | Neutral | 2 |
| 408 | Show Me the Way to Go Home. | Neutral | 2 |
| 409 | A hymn of praise to smalltown life, | Neutral | 2 |
| 410 | where we learn that you don’t have to leave home | Neutral | 2 |
| 411 | to discover what the world’s all about, and that no one is poor who has friends. | Negative | 1 |
| 412 | Full of laughter and love, pain and sadness, but ultimateiy redemption, | Positive | 3 |
| 413 | we share the trials and tribulations of the Abbott family. | Neutral | 2 |
| 414 | Note the touching performance of Ronald Brierly as Uncle Bunny. | Positive | 3 |
| 415 | That scene with the bowl of cherries is going to have you | Positive | 3 |
| 416 | splitting your sides with laughter all over again. | Positive | 3 |
| 417 | And there’ll be tears, too, when David and Jennifer are reunited. | Negative | 1 |
| 418 | But enough from me. Let’s join the Abbotts in Camden village. | Negative | 1 |
| 419 | Thank you, sweetie. | Neutral | 2 |
| 420 | I need to talk to you, but let’s go outside. | Negative | 1 |
| 421 | Sweetie, I’d love to, but I’m really late. What’s your rush? | Negative | 1 |
| 422 | Surgery. | Neutral | 2 |
| 423 | There was that elevator disaster downtown. It was on the news last night. | Negative | 1 |
| 424 | This cable just snapped. | Neutral | 2 |
| 425 | This elevator, it just plummeted down 10 flights. | Negative | 1 |
| 426 | The nonunion workers. Just monsters. | Neutral | 2 |
| 427 | That building, it’s right next door to where you work. | Neutral | 2 |
| 428 | Can you imagine if you had been in there? | Neutral | 2 |
| 429 | It’s not even worth thinking about. | Negative | 1 |
| 430 | Anyway, I have an amputation on one of the young women | Positive | 3 |
| 431 | who was in that elevator. She’s very young. It’s very sad. | Negative | 1 |
| 432 | Anyway, wish me luck. I’ll cross my fingers for you. | Negative | 1 |
| 433 | Excuse me. Hi. Excuse me. May I help you? | Negative | 1 |
| 434 | Yes. I’m looking for my wife, Nurse Burbank. It’s very important. | Negative | 1 |
| 435 | I’m afraid that that’s not possible. She’s in preop. | Neutral | 2 |
| 436 | Sure. Okay, fine. | Neutral | 2 |
| 437 | Can you pass along a message? I’ll try. | Neutral | 2 |
| 438 | Can you tell her I had to go to Fiji, and that I’ll call her when I get there? | Neutral | 2 |
| 439 | When you get to Fiji? You got it. | Neutral | 2 |
| 440 | Fine. I’ll tell her. Thank you so much. | Negative | 1 |
| 441 | Sorry. It’s okay. | Neutral | 2 |
| 442 | Here, let me help you with that. | Positive | 3 |
| 443 | He’s here. | Neutral | 2 |
| 444 | I know. | Neutral | 2 |
| 445 | Scalpel. | Neutral | 2 |
| 446 | I’m now making my primary incision | Neutral | 2 |
| 447 | just above the right knee. | Positive | 3 |
| 448 | Hold her. | Neutral | 2 |
| 449 | Nicely done. | Positive | 3 |
| 450 | This isn’t going to be pretty. Unless you’re family… | Negative | 1 |
| 451 | It’s just beautiful. Beautiful job. | Positive | 3 |
| 452 | I’ll just let someone else tidy up here. | Negative | 1 |
| 453 | I’m sorry to keep you. That’s okay. | Negative | 1 |
| 454 | How can I help? I would like to book a flight to Fiji. | Neutral | 2 |
| 455 | When would you like to leave? | Neutral | 2 |
| 456 | Today. | Neutral | 2 |
| 457 | I’m sorry. I don’t have anything for at least a month. | Negative | 1 |
| 458 | A month? It’s the busy season. | Neutral | 2 |
| 459 | You want to book the flight? | Neutral | 2 |
| 460 | It doesn’t matter. I’ll make other arrangements, okay? | Negative | 1 |
| 461 | Last call for Chicago! | Neutral | 2 |
| 462 | All aboard! | Neutral | 2 |
| 463 | Thank you. | Neutral | 2 |
| 464 | Windy city, here we come. | Neutral | 2 |
| 465 | Hi. Hi. | Neutral | 2 |
| 466 | Hello. Hi. | Neutral | 2 |
| 467 | Sisters. | Neutral | 2 |
| 468 | Mom, isn’t that… Face the front. | Negative | 1 |
| 469 | Everybody off. We’ve got a problem. | Positive | 3 |
| 470 | I’m sorry, son. | Neutral | 2 |
| 471 | His father was from Chicago, wasn’t he? | Neutral | 2 |
| 472 | No. His dentist was from Pensacola. His father was from Des Moines. | Neutral | 2 |
| 473 | But how come he wants to go to Chicago? | Neutral | 2 |
| 474 | He’s not going to Chicago. He’s not going anywhere. | Neutral | 2 |
| 475 | He has to have it out with Meryl. | Positive | 3 |
| 476 | Truman? | Neutral | 2 |
| 477 | Honey, are you okay? Get in. | Neutral | 2 |
| 478 | Truman. | Neutral | 2 |
| 479 | Look. | Neutral | 2 |
| 480 | What? | Neutral | 2 |
| 481 | I predict that in just a moment, | Neutral | 2 |
| 482 | we will see a lady on a red bike, followed by a man with flowers | Positive | 3 |
| 483 | and a Volkswagen Beetle with a dented fender. | Neutral | 2 |
| 484 | Truman, please. Look. | Neutral | 2 |
| 485 | Lady, | Neutral | 2 |
| 486 | flowers, | Neutral | 2 |
| 487 | and… | Neutral | 2 |
| 488 | Truman, this is silly. There it is! | Negative | 1 |
| 489 | There’s that dented Beetle! Yes! | Neutral | 2 |
| 490 | Don’t you want to know how I did that? I’ll tell you. | Negative | 1 |
| 491 | They’re on a loop. They go around the block. | Neutral | 2 |
| 492 | They come back. They go around again. They just go round and round. | Neutral | 2 |
| 493 | Round and round. | Neutral | 2 |
| 494 | I invited Rita and Marlon for a barbecue on Sunday. | Negative | 1 |
| 495 | I’m gonna make my potato salad. I won’t be here Sunday. | Negative | 1 |
| 496 | I need you to remind me we need more charcoal. | Neutral | 2 |
| 497 | Are you listening to a word I’m saying? | Neutral | 2 |
| 498 | You’re upset because you want to go to Fiji. Is that it? | Neutral | 2 |
| 499 | Okay, go. | Neutral | 2 |
| 500 | I think you should save for a few months, and then go. | Neutral | 2 |
| 501 | There. Are you happy now? | Positive | 3 |
| 502 | I’m going to go take a shower. | Neutral | 2 |
| 503 | Let’s go now. | Neutral | 2 |
| 504 | I’m ready to go now. Why wait? Early bird gathers no moss. | Negative | 1 |
| 505 | Rolling stone catches the worm, right? | Negative | 1 |
| 506 | Truman, what are you doing? | Neutral | 2 |
| 507 | Truman! | Neutral | 2 |
| 508 | Where shall we go? | Neutral | 2 |
| 509 | Truman, where are we going? I don’t really know. | Negative | 1 |
| 510 | I guess I’m being spontaneous. | Neutral | 2 |
| 511 | Somebody, help me! I’m being spontaneous! | Neutral | 2 |
| 512 | Forget Fiji. | Neutral | 2 |
| 513 | Can’t very well drive to Fiji, can we? No. | Positive | 3 |
| 514 | What about Atlantic City? No, you hate to gamble. | Neutral | 2 |
| 515 | That’s right, I do, don’t I? So why would you want to go there? | Negative | 1 |
| 516 | Because I never have. That’s why people go places, isn’t it? | Negative | 1 |
| 517 | Truman, I think I’m going to throw up. Me, too. | Negative | 1 |
| 518 | Blocked at every turn. | Neutral | 2 |
| 519 | Beautifully synchronized, don’t you agree? | Positive | 3 |
| 520 | You’re blaming me for the traffic? Should I? | Negative | 1 |
| 521 | Truman, let’s go home. | Neutral | 2 |
| 522 | You’re right. We could be stuck here for hours. | Negative | 1 |
| 523 | It could be like this all the way to Atlantic City. | Neutral | 2 |
| 524 | Let’s go back. | Neutral | 2 |
| 525 | I’m sorry. I don’t know what got into me. | Negative | 1 |
| 526 | Can you please slow down? | Negative | 1 |
| 527 | Yes, I can. | Neutral | 2 |
| 528 | Truman, that’s our turnoff. I changed my mind again. | Negative | 1 |
| 529 | What’s New Orleans like this time of year? Mardi Gras! | Neutral | 2 |
| 530 | Look, Meryl, same road, no cars. | Negative | 1 |
| 531 | It’s magic. | Neutral | 2 |
| 532 | Look, you let me out. You’re not right in the head. | Negative | 1 |
| 533 | You want to destroy yourself, you do it on your own. | Neutral | 2 |
| 534 | I think I’d like a little company. | Neutral | 2 |
| 535 | Truman, you knew this would happen. | Neutral | 2 |
| 536 | You know you can’t drive over water. | Neutral | 2 |
| 537 | Let’s go home where you’ll feel safe. | Negative | 1 |
| 538 | Give me your hand. Sweetie. | Neutral | 2 |
| 539 | Drive. | Neutral | 2 |
| 540 | Truman! | Neutral | 2 |
| 541 | We shouldn’t be doing this! Truman, we’re breaking the law! | Negative | 1 |
| 542 | Oh, my! You can do it. | Neutral | 2 |
| 543 | Please, don’t! You can make it. | Negative | 1 |
| 544 | Truman. | Neutral | 2 |
| 545 | We’re over. | Neutral | 2 |
| 546 | We’re over the bridge. We’re over? | Neutral | 2 |
| 547 | We’re over the bridge. We’re over. | Neutral | 2 |
| 548 | Truman, what about that sign? | Neutral | 2 |
| 549 | I’m sure they’re exaggerating. We’ll be fine. | Negative | 1 |
| 550 | Exaggerating? Do you believe that? | Neutral | 2 |
| 551 | Truman, let’s go back! Can’t go back! | Negative | 1 |
| 552 | Oh, my! Truman, we’re on fire! | Negative | 1 |
| 553 | It’s okay. We’re on fire! | Neutral | 2 |
| 554 | It’s okay. It’s just smoke. | Negative | 1 |
| 555 | You okay? Yes. | Neutral | 2 |
| 556 | Want to do it again? No! | Neutral | 2 |
| 557 | Truman, stop! Oh, God! | Neutral | 2 |
| 558 | So what are we going to do for money when we get to New Orleans? | Neutral | 2 |
| 559 | I have my Seahaven bank card. | Neutral | 2 |
| 560 | So what? We’re just gonna eat into our savings, is that it? | Negative | 1 |
| 561 | I’m going to have to call your mother when we get there. | Neutral | 2 |
| 562 | She’s going to be worried sick. I don’t know how she’s going to take this. | Negative | 1 |
| 563 | What now? | Neutral | 2 |
| 564 | This is a red alert. | Neutral | 2 |
| 565 | Truman, it looks like a leak at the plant. | Neutral | 2 |
| 566 | Back up. Leak at the plant. | Neutral | 2 |
| 567 | We had to shut her down. Is there any way around? | Neutral | 2 |
| 568 | Whole area’s being evacuated. Is there anything I can do? | Neutral | 2 |
| 569 | No, ma’am. Thank you for your help. | Positive | 3 |
| 570 | You’re welcome, Truman. | Neutral | 2 |
| 571 | Truman. | Neutral | 2 |
| 572 | Truman! | Neutral | 2 |
| 573 | Truman, come back! | Neutral | 2 |
| 574 | Stop him! | Neutral | 2 |
| 575 | Truman! | Neutral | 2 |
| 576 | Catch him on the left! | Neutral | 2 |
| 577 | Stay away! | Positive | 3 |
| 578 | No. | Negative | 1 |
| 579 | …now in custody. | Neutral | 2 |
| 580 | Thank you both so much for your help. I really appreciate it. | Neutral | 2 |
| 581 | He’s lucky to be alive, ma’am. Next time, we’ll have to file charges. | Negative | 1 |
| 582 | I understand. | Neutral | 2 |
| 583 | Thanks again. Good night. | Positive | 3 |
| 584 | Let me get you some help, Truman. | Negative | 1 |
| 585 | You’re not well. | Neutral | 2 |
| 586 | Why do you want to have a baby with me? | Negative | 1 |
| 587 | You can’t stand me. | Neutral | 2 |
| 588 | That’s not true. | Neutral | 2 |
| 589 | Why don’t you let me fix you some of this new Mococoa drink? | Negative | 1 |
| 590 | All natural cocoa beans from the upper slopes of Mt. Nicaragua. | Neutral | 2 |
| 591 | No artificial sweeteners. | Neutral | 2 |
| 592 | What the hell are you talking about? | Negative | 1 |
| 593 | Who are you talking to? | Neutral | 2 |
| 594 | I’ve tasted other cocoas. This is the best. | Neutral | 2 |
| 595 | What the hell does this have to do with anything? | Negative | 1 |
| 596 | Tell me what’s happening! | Neutral | 2 |
| 597 | You’re having a nervous breakdown, that’s what’s happening. | Negative | 1 |
| 598 | You’re part of this, aren’t you? | Neutral | 2 |
| 599 | Truman. Meryl! | Neutral | 2 |
| 600 | You are scaring me. | Neutral | 2 |
| 601 | No. You’re scaring me, Meryl. | Negative | 1 |
| 602 | What are you going to do? Dice me? Slice me and peel me? | Negative | 1 |
| 603 | There are so many choices! | Neutral | 2 |
| 604 | Do something! | Neutral | 2 |
| 605 | What? | Neutral | 2 |
| 606 | What did you say? | Neutral | 2 |
| 607 | Who were you talking to? Nothing. I didn’t say anything. | Neutral | 2 |
| 608 | I didn’t say anything. | Neutral | 2 |
| 609 | You said “do something.” No, I didn’t. I wasn’t talking to anybody. | Negative | 1 |
| 610 | Talk to me! I don’t know anything. Please stop. | Neutral | 2 |
| 611 | Stay where you are. | Negative | 1 |
| 612 | Truman? | Neutral | 2 |
| 613 | Truman. | Neutral | 2 |
| 614 | Oh, thank God! | Neutral | 2 |
| 615 | How can anyone expect me to carry on under these conditions? | Neutral | 2 |
| 616 | It’s unprofessional. | Neutral | 2 |
| 617 | It’s okay. | Neutral | 2 |
| 618 | Everything’s going to be okay. It’s all gonna be fine. | Negative | 1 |
| 619 | I don’t know what to think, Marlon. | Neutral | 2 |
| 620 | Maybe I’m losing my mind, but… | Neutral | 2 |
| 621 | It feels like the whole world revolves around me somehow. | Negative | 1 |
| 622 | That’s a lot of world for one man, Truman. | Neutral | 2 |
| 623 | Sure that’s not wishful thinking? | Negative | 1 |
| 624 | You wishing you’d made something more out of yourself? | Negative | 1 |
| 625 | Come on, who hasn’t sat in the john, | Neutral | 2 |
| 626 | had an imaginary interview on Seahaven Tonight? | Neutral | 2 |
| 627 | Who hasn’t wanted to be somebody? This is different. | Neutral | 2 |
| 628 | Everybody seems to be in on it. | Neutral | 2 |
| 629 | I’ve been your best friend since we were 7 years old, Truman. | Negative | 1 |
| 630 | The only way you and I ever made it through school | Neutral | 2 |
| 631 | was by cheating off each other’s test papers. | Neutral | 2 |
| 632 | Jesus, they were identical. | Neutral | 2 |
| 633 | But I always felt safe knowing that. | Positive | 3 |
| 634 | ’Cause whatever the answer was, we were right together, | Neutral | 2 |
| 635 | and we were wrong together. | Neutral | 2 |
| 636 | Remember that time I stayed up with you all night in your tent | Negative | 1 |
| 637 | because you wanted to play North Pole? | Neutral | 2 |
| 638 | And I got pneumonia? | Positive | 3 |
| 639 | You remember that? | Neutral | 2 |
| 640 | You were out of school for about a month. | Neutral | 2 |
| 641 | You’re the closest thing I ever had to a brother, Truman. | Neutral | 2 |
| 642 | I know that things | Neutral | 2 |
| 643 | haven’t really worked out for either of us like we used to dream they would. | Negative | 1 |
| 644 | I know that feeling, when it’s like everything’s slipping away | Negative | 1 |
| 645 | and you don’t want to believe it, | Neutral | 2 |
| 646 | so you look for answers somewhere else, but… | Neutral | 2 |
| 647 | The point is, | Neutral | 2 |
| 648 | I’d gladly walk in front of traffic for you. | Neutral | 2 |
| 649 | The point is, I would gladly step in front of traffic for you, Truman. | Negative | 1 |
| 650 | And the last thing I’d ever do is lie to you. | Negative | 1 |
| 651 | And the last thing that I would ever do | Neutral | 2 |
| 652 | is lie to you. | Neutral | 2 |
| 653 | I mean, think about it, Truman. | Neutral | 2 |
| 654 | If everybody is in on it, | Neutral | 2 |
| 655 | I’d have to be in on it, too. | Neutral | 2 |
| 656 | I’m not in on it, Truman, because | Neutral | 2 |
| 657 | there is no “it.” | Negative | 1 |
| 658 | You were right about one thing, though. | Neutral | 2 |
| 659 | What’s that? | Neutral | 2 |
| 660 | The thing that started all this. | Neutral | 2 |
| 661 | Yep. I found him for you, Truman. | Neutral | 2 |
| 662 | That’s why I came by tonight. | Neutral | 2 |
| 663 | I’m sure he’s got quite a story to tell. | Positive | 3 |
| 664 | Go to him. | Neutral | 2 |
| 665 | Easy on the fog. | Neutral | 2 |
| 666 | Stand by, crane cam. | Neutral | 2 |
| 667 | Crane cam. | Neutral | 2 |
| 668 | Button cam 3. | Neutral | 2 |
| 669 | I never stopped believing. | Negative | 1 |
| 670 | And wide, curb cam 8. | Negative | 1 |
| 671 | My son. | Neutral | 2 |
| 672 | Move in for a closeup? No. | Neutral | 2 |
| 673 | Move back | Positive | 3 |
| 674 | and fade up music. | Negative | 1 |
| 675 | And now go in close. | Neutral | 2 |
| 676 | Aii those years wasted. | Neutral | 2 |
| 677 | I’ii make it up to you, son. I swear. | Neutral | 2 |
| 678 | Dad. | Neutral | 2 |
| 679 | Yes! | Neutral | 2 |
| 680 | Bravo. | Neutral | 2 |
| 681 | That will win the ratings period. | Positive | 3 |
| 682 | Congratulations. | Neutral | 2 |
| 683 | Okay, everybody, quiet down. Let’s concentrate. | Neutral | 2 |
| 684 | Great television. That was good work. | Positive | 3 |
| 685 | Let’s get some champagne up here. | Negative | 1 |
| 686 | Congratulations. | Neutral | 2 |
| 687 | Well done, Christof. It was brilliant. It just broke my heart. | Negative | 1 |
| 688 | Well done, everyone! Bravo! | Neutral | 2 |
| 689 | Congratulations. | Neutral | 2 |
| 690 | 1.7 billion were there for his birth. | Neutral | 2 |
| 691 | 220 countries tuned in for his first step. | Neutral | 2 |
| 692 | The worid stood still for that stolen kiss. | Neutral | 2 |
| 693 | And as he grew, so did the technology. | Neutral | 2 |
| 694 | An entire human life | Neutral | 2 |
| 695 | recorded on an intricate network of hidden cameras | Positive | 3 |
| 696 | and broadcast iive and unedited, 24 hours a day, | Negative | 1 |
| 697 | seven days a week, to an audience around the globe. | Neutral | 2 |
| 698 | Coming to you now from Seahaven Island, | Neutral | 2 |
| 699 | enclosed in the largest studio ever constructed, | Neutral | 2 |
| 700 | and along with the Great Wall of China, | Positive | 3 |
| 701 | one of only two manmade structures visible from space, | Neutral | 2 |
| 702 | now in its 30th great year, | Neutral | 2 |
| 703 | it’s The Truman Show. | Neutral | 2 |
| 704 | What a week it’s been. I don’t know about you, | Negative | 1 |
| 705 | I was on pins and needles the entire time. | Neutral | 2 |
| 706 | Hello and good evening. I’m your host Mike Michaelson, | Positive | 3 |
| 707 | and welcome to Trutalk. | Positive | 3 |
| 708 | Our forum for issues growing out of the show. | Neutral | 2 |
| 709 | But tonight, something very special indeed. | Positive | 3 |
| 710 | A rare and exclusive interview with the show’s conceiver and creator. | Positive | 3 |
| 711 | So come with us now as we go live to the lunar room | Neutral | 2 |
| 712 | on the 221st floor of the omnicam ecosphere. | Neutral | 2 |
| 713 | That’s where we’ll find the world’s greatest televisionary. | Negative | 1 |
| 714 | The designer and architect of the world within a world | Positive | 3 |
| 715 | that is Seahaven Island: Christof. | Neutral | 2 |
| 716 | Before we begin, I’d like to thank you on behalf of our audience, | Neutral | 2 |
| 717 | for granting this exclusive interview. | Neutral | 2 |
| 718 | We know how demanding your schedule is | Negative | 1 |
| 719 | and we all know how jealously you guard your privacy. | Negative | 1 |
| 720 | This, sir, is indeed an honor. | Negative | 1 |
| 721 | Don’t mention it. | Neutral | 2 |
| 722 | The catalyst for the recent dramatic events on the show | Neutral | 2 |
| 723 | has been Truman’s father, Kirk, | Neutral | 2 |
| 724 | and his attempts to infiltrate the show. But before we get into that, | Neutral | 2 |
| 725 | I think it’s worth noting this is not the first time | Negative | 1 |
| 726 | someone from the outside has attempted to reach Truman, is it? | Negative | 1 |
| 727 | We have had our close calls in the past. | Neutral | 2 |
| 728 | Truman! It’s television! Yes! | Neutral | 2 |
| 729 | Yes! I did it! I’m on The Truman Show! | Negative | 1 |
| 730 | But there’s never been anything to compare with | Negative | 1 |
| 731 | this most recent breach in security. | Neutral | 2 |
| 732 | The first intruder to be a former cast member. | Neutral | 2 |
| 733 | A dead one at that. | Negative | 1 |
| 734 | Got to say, writing Kirk back in, masterstroke. | Negative | 1 |
| 735 | Since Kirk started this whole crisis in Truman’s life, | Neutral | 2 |
| 736 | I came to the conclusion that he was the only one who could end it. | Neutral | 2 |
| 737 | Truman! | Neutral | 2 |
| 738 | Truman, no! | Neutral | 2 |
| 739 | That’s offlimits. | Neutral | 2 |
| 740 | Why? What’s over there? Nothing. It’s dangerous. That’s all. | Negative | 1 |
| 741 | You’ve got to know your limitations, Truman. | Negative | 1 |
| 742 | But let’s remind viewers of exactly why Dad was written out in the first place. | Negative | 1 |
| 743 | As Truman grew up, we were forced to manufacture ways | Neutral | 2 |
| 744 | to keep him on the island. | Neutral | 2 |
| 745 | I’d like to be an explorer, like the great Magellan. | Neutral | 2 |
| 746 | You’re too late. | Negative | 1 |
| 747 | There’s really nothing left to explore. | Negative | 1 |
| 748 | Finally, I came up with the concept of Kirk’s drowning. | Neutral | 2 |
| 749 | Most effective. Truman’s been terrified of the water ever since. | Negative | 1 |
| 750 | When Kirk read the synopsis for the Death At Sea episode, | Neutral | 2 |
| 751 | he was disappointed, to say the least. | Neutral | 2 |
| 752 | I’m sure that’s what caused him to break back onto the set. | Negative | 1 |
| 753 | But how do you intend to explain his 22year absence? | Neutral | 2 |
| 754 | Amnesia. Brilliant. | Neutral | 2 |
| 755 | Let’s take some viewer phone calls. | Neutral | 2 |
| 756 | Charlotte, North Carolina, you’re on with Christof. | Neutral | 2 |
| 757 | Yeah, hi, Christof. | Neutral | 2 |
| 758 | I was just wondering how many cameras you got there in that town. | Negative | 1 |
| 759 | Somewhere in the vicinity of 5,000. | Neutral | 2 |
| 760 | That’s a lot of cameras. Remember, we started with just one. | Neutral | 2 |
| 761 | He was curious from birth. | Neutral | 2 |
| 762 | Premature by two weeks. It was almost as if he couldn’t wait to get started. | Neutral | 2 |
| 763 | And his eagerness to leave his mother’s womb | Neutral | 2 |
| 764 | was the very reason he was the one who was selected. | Neutral | 2 |
| 765 | In competition with five other unwanted pregnancies, | Neutral | 2 |
| 766 | the casting of a show, determined by an air date, | Neutral | 2 |
| 767 | Truman was the one who arrived on cue. | Neutral | 2 |
| 768 | Incidentally, I believe Truman is the first child | Neutral | 2 |
| 769 | to have been legally adopted by a corporation. | Negative | 1 |
| 770 | That’s correct. | Neutral | 2 |
| 771 | The show has generated enormous revenues, | Positive | 3 |
| 772 | now equivalent to the gross national product of a small country. | Negative | 1 |
| 773 | People forget it takes | Neutral | 2 |
| 774 | the population of an entire country to keep the show running. | Neutral | 2 |
| 775 | Since the show is on 24 hours a day without commercial interruption, | Negative | 1 |
| 776 | all those staggering revenues are generated by product placement. | Neutral | 2 |
| 777 | That’s true. Everything on the show is for sale. | Neutral | 2 |
| 778 | From the actors’ wardrobe, food products, to the very homes they live in. | Neutral | 2 |
| 779 | All of it available in the Truman catalog | Neutral | 2 |
| 780 | and operators are standing by. | Negative | 1 |
| 781 | Christof, let me ask you. | Neutral | 2 |
| 782 | Why do you think that Truman has never come close | Negative | 1 |
| 783 | to discovering the true nature of his world until now? | Neutral | 2 |
| 784 | We accept the reality of the world with which we are presented. | Neutral | 2 |
| 785 | It’s as simple as that. | Positive | 3 |
| 786 | The Hague for Christof. | Neutral | 2 |
| 787 | Hello? The Hague? | Neutral | 2 |
| 788 | All right, we’ve lost that call. Let’s go to Hollywood. You’re on Trutalk. | Negative | 1 |
| 789 | Hi, I’d just like to say one thing. | Negative | 1 |
| 790 | You’re a liar and a manipulator. | Neutral | 2 |
| 791 | And what you’ve done to Truman is sick. | Negative | 1 |
| 792 | We remember this voice, don’t we? | Negative | 1 |
| 793 | How could we forget? Let’s go to another call. | Neutral | 2 |
| 794 | No. It’s fine, Mike. | Neutral | 2 |
| 795 | I love to reminisce with former members of the cast. | Positive | 3 |
| 796 | Sylvia, | Neutral | 2 |
| 797 | as you announced so melodramatically to the world, | Neutral | 2 |
| 798 | you think because you batted your eyes at Truman once, | Neutral | 2 |
| 799 | flirted with him, | Neutral | 2 |
| 800 | stole a few minutes of airtime with him | Neutral | 2 |
| 801 | to thrust yourself and your politics into the limelight, | Neutral | 2 |
| 802 | that you know him? That you know what’s right for him? | Neutral | 2 |
| 803 | You really think you’re in a position to judge him? | Negative | 1 |
| 804 | What right do you have to take a baby | Positive | 3 |
| 805 | and turn his life into some kind of mockery? | Neutral | 2 |
| 806 | Don’t you ever feel guilty? | Neutral | 2 |
| 807 | I have given Truman a chance to lead a normal life. | Neutral | 2 |
| 808 | The world, the place you live in, | Neutral | 2 |
| 809 | is the sick place. | Negative | 1 |
| 810 | Seahaven is the way the world should be. | Neutral | 2 |
| 811 | He’s not a perfermer. He’s a prisoner. Look at what you’ve done to him! | Negative | 1 |
| 812 | He could leave at any time. | Negative | 1 |
| 813 | If his was more than just a vague ambition, | Neutral | 2 |
| 814 | if he was absolutely determined to discover the truth, | Positive | 3 |
| 815 | there’s no way we could prevent him. | Negative | 1 |
| 816 | I think what distresses you, | Neutral | 2 |
| 817 | really, caller, is that ultimately | Neutral | 2 |
| 818 | Truman prefers his cell, as you call it. | Negative | 1 |
| 819 | That’s where you’re wrong. | Neutral | 2 |
| 820 | You’re so wrong, and he’ll prove you wrong. | Negative | 1 |
| 821 | Aside from the heated comments of a very vocal minority, | Neutral | 2 |
| 822 | it’s been an overwhelmingly positive experience. | Positive | 3 |
| 823 | Yes. For Truman and for the viewing public. | Neutral | 2 |
| 824 | Christof, I can’t thank you enough | Positive | 3 |
| 825 | for giving so generously of your time tonight. | Neutral | 2 |
| 826 | I think it’s safe to say that now that this crisis is behind us | Negative | 1 |
| 827 | and that Truman’s back to his old self, | Neutral | 2 |
| 828 | we can look forward to some exciting new developments. | Positive | 3 |
| 829 | Mike, the big news is that Meryl will be leaving Truman | Neutral | 2 |
| 830 | in an upcoming episode. | Neutral | 2 |
| 831 | And a new romantic interest will be introduced. | Positive | 3 |
| 832 | I’m determined that television’s first onair conception will still take place. | Positive | 3 |
| 833 | Another television milestone straight ahead. You heard it here first. | Negative | 1 |
| 834 | It has been a singular honor and a pleasure, sir. | Positive | 3 |
| 835 | Christof, thank you. Thank you, Mike. | Neutral | 2 |
| 836 | Simeon. What? | Neutral | 2 |
| 837 | Is he looking at us? | Neutral | 2 |
| 838 | Jesus, do you think he knows? | Neutral | 2 |
| 839 | Hello? | Neutral | 2 |
| 840 | Better call Christof. | Positive | 3 |
| 841 | Hello? Come in, Major Burbank. | Neutral | 2 |
| 842 | Jesus. | Neutral | 2 |
| 843 | He’s back to his old self. Thank God. | Neutral | 2 |
| 844 | That’s an unusual cat, my man. | Positive | 3 |
| 845 | I hereby proclaim this planet… | Neutral | 2 |
| 846 | Trumania of the Burbank galaxy. | Neutral | 2 |
| 847 | Is he gonna go? Okay, hallway camera ready. | Neutral | 2 |
| 848 | That one’s for free. | Neutral | 2 |
| 849 | Keep up with him, ’cause he’ll move fast. | Negative | 1 |
| 850 | Stand by, all house cameras. | Negative | 1 |
| 851 | Morning! Good morning. | Neutral | 2 |
| 852 | Good morning. Good morning. | Positive | 3 |
| 853 | In case I don’t see you… | Negative | 1 |
| 854 | Good afternoon, good evening, and good night. | Positive | 3 |
| 855 | Good afternoon… Good morning. | Positive | 3 |
| 856 | …evening and good night. | Positive | 3 |
| 857 | Morning, Truman. Morning, Spencer. | Neutral | 2 |
| 858 | How’s it going? Let me check. | Negative | 1 |
| 859 | Vital signs are good. | Neutral | 2 |
| 860 | Pluto! | Neutral | 2 |
| 861 | Good morning, Truman. | Positive | 3 |
| 862 | Look who’s here. Beautiful day, isn’t it? | Neutral | 2 |
| 863 | Every single day. | Neutral | 2 |
| 864 | The policy, we’ve thought about it and we’re gonna take it. | Neutral | 2 |
| 865 | You’re kidding? No! | Neutral | 2 |
| 866 | Why don’t we go up to my office right now and we’ll sign the papers? | Neutral | 2 |
| 867 | Next week would be much better. | Negative | 1 |
| 868 | All right. See you guys. Okay, bye now. See you next week. | Negative | 1 |
| 869 | Give me something to look forward to. You got it. | Positive | 3 |
| 870 | See, this isn’t about insurance. | Neutral | 2 |
| 871 | This is about the great variable: When will death occur? | Neutral | 2 |
| 872 | Could be a week, a month, a year. | Negative | 1 |
| 873 | Could be today. | Neutral | 2 |
| 874 | “Sunbather, minding his own business, | Neutral | 2 |
| 875 | “stabbed in the heart by the tip of a runaway beach umbrella.” | Negative | 1 |
| 876 | No way to guard against that kind of thing. | Neutral | 2 |
| 877 | Sorry, excuse me. | Neutral | 2 |
| 878 | Truman, this is Vivien. Vivien, this is Truman. | Negative | 1 |
| 879 | The two of you are gonna be neighbors. | Positive | 3 |
| 880 | I guess what I’m saying is that life is | Neutral | 2 |
| 881 | fragile. | Neutral | 2 |
| 882 | Vivien, your office. Sorry. | Neutral | 2 |
| 883 | What’s that? I’m sorry. | Neutral | 2 |
| 884 | You do? | Neutral | 2 |
| 885 | Great. Let me take your information. | Neutral | 2 |
| 886 | Ready, 2. Go to 2. | Neutral | 2 |
| 887 | And back to medium. | Neutral | 2 |
| 888 | And wide. | Neutral | 2 |
| 889 | I was just trying to train the kid to… | Neutral | 2 |
| 890 | Never mind. | Neutral | 2 |
| 891 | What’s he doing in the basement? | Neutral | 2 |
| 892 | He moved down there after Meryl packed up and left. | Positive | 3 |
| 893 | Why wasn’t I told? | Negative | 1 |
| 894 | Any unpredictable behavior has to be reported. | Neutral | 2 |
| 895 | He’s just sleeping, I thought. | Negative | 1 |
| 896 | This the best shot we’ve got? What’s to see? | Positive | 3 |
| 897 | What’s on the clock cam? It’s an obstruction. | Neutral | 2 |
| 898 | What happened down there? He was just tidying up his garbage. | Negative | 1 |
| 899 | I was gonna call you, but halfway through, he gave up, and he fell asleep. | Negative | 1 |
| 900 | I wanna check on the setups for the insurance convention tomorrow. | Negative | 1 |
| 901 | Yes. Yeah. | Neutral | 2 |
| 902 | Nice move. | Neutral | 2 |
| 903 | There you go. | Positive | 3 |
| 904 | Isolate the audio. | Neutral | 2 |
| 905 | Give me a closeup on his torso. | Neutral | 2 |
| 906 | He’s still breathing. | Neutral | 2 |
| 907 | Where’s Chloe? Call him. | Neutral | 2 |
| 908 | What do you want me to say? Tell him it’s a wrong number. | Negative | 1 |
| 909 | What took you so long? | Neutral | 2 |
| 910 | Just had to wait for it. They were busy. | Neutral | 2 |
| 911 | Here. What’s going on? | Negative | 1 |
| 912 | I don’t know. They’re… | Neutral | 2 |
| 913 | He came down into the room. He did nothing but stand around for a while. | Negative | 1 |
| 914 | Shut up and watch it. | Neutral | 2 |
| 915 | Then we went to night vision. | Neutral | 2 |
| 916 | He’s asleep. | Neutral | 2 |
| 917 | There! What? | Neutral | 2 |
| 918 | Zoom in. On which? | Positive | 3 |
| 919 | Under the chair there. | Neutral | 2 |
| 920 | Enhance it. | Neutral | 2 |
| 921 | Is it… My God. | Neutral | 2 |
| 922 | He couldn’t have gone up the stairs. He must still be in the room. | Negative | 1 |
| 923 | Get Marlon over there. Right away. | Negative | 1 |
| 924 | Truman! | Neutral | 2 |
| 925 | Surprise party! | Neutral | 2 |
| 926 | Come on, buddy. | Neutral | 2 |
| 927 | I got a sixpack of cold brewskis with our name on them. | Negative | 1 |
| 928 | Come on, pal. Come on, buddy. | Negative | 1 |
| 929 | Shit. | Neutral | 2 |
| 930 | Marlon, find him. He’s still in the room. | Negative | 1 |
| 931 | Come out, come out, wherever you are. | Neutral | 2 |
| 932 | That’s good. Keep it light. | Neutral | 2 |
| 933 | I know you’re in here. I’m gonna find you. | Negative | 1 |
| 934 | Check under the table. | Neutral | 2 |
| 935 | The closet, behind you. | Neutral | 2 |
| 936 | Huh. | Neutral | 2 |
| 937 | Gee. | Neutral | 2 |
| 938 | I wonder where he could possibly be. | Neutral | 2 |
| 939 | The lawn cam, get me the lawn cam. | Neutral | 2 |
| 940 | Don’t look in the camera. Say something. Keep it going. | Negative | 1 |
| 941 | He’s gone. | Neutral | 2 |
| 942 | Cut transmission! Cut transmission? | Positive | 3 |
| 943 | Cut it! | Neutral | 2 |
| 944 | Jesus! God in heaven! | Neutral | 2 |
| 945 | Everything’s black. Give me the phone. | Neutral | 2 |
| 946 | I don’t know where he is, but he’s gone. | Negative | 1 |
| 947 | All right. We’ve got every available extra looking for him. | Neutral | 2 |
| 948 | The principals are helping out. The crew, too. So every sector’s covered. | Negative | 1 |
| 949 | What about prop cars? Yes, they’ve been accounted for. | Neutral | 2 |
| 950 | He has to be on foot. | Positive | 3 |
| 951 | He has the world’s most recognizable face. He can’t disappear. | Positive | 3 |
| 952 | Go. | Neutral | 2 |
| 953 | Hunt him. Yeah. Go find him, Pluto. | Negative | 1 |
| 954 | Good dog! | Positive | 3 |
| 955 | All this fuss. | Neutral | 2 |
| 956 | If he could just hear my voice. | Neutral | 2 |
| 957 | Truman! | Neutral | 2 |
| 958 | Let me try. Truman! | Negative | 1 |
| 959 | It’s me, Dad! | Neutral | 2 |
| 960 | Let’s talk. | Neutral | 2 |
| 961 | Yeah, I know. | Neutral | 2 |
| 962 | Just about done with the square. | Neutral | 2 |
| 963 | Got to go back to Barrymore, check the interiors. | Negative | 1 |
| 964 | He’s got to be in there. Barrymore. | Neutral | 2 |
| 965 | But what about the college? Who’s watching that? | Neutral | 2 |
| 966 | I don’t know. | Neutral | 2 |
| 967 | Send somebody over there, okay? All right. | Neutral | 2 |
| 968 | Take another man and get down there now, all right? | Negative | 1 |
| 969 | I don’t give a damn. Just find the son of a bitch. | Neutral | 2 |
| 970 | Get some batteries. | Neutral | 2 |
| 971 | This guy’s not gonna glow in the dark. Get them down here. | Negative | 1 |
| 972 | I don’t know what’s going on. Reroute it back to me. | Negative | 1 |
| 973 | We need more light. We’ll never find him this way. | Negative | 1 |
| 974 | What time is it? | Neutral | 2 |
| 975 | It’s way too early for that. | Negative | 1 |
| 976 | Cue the sun. | Neutral | 2 |
| 977 | What time is it? | Neutral | 2 |
| 978 | Christof, what’s going on? | Negative | 1 |
| 979 | Did you know there’s a rumor circulating that he’s dead? | Negative | 1 |
| 980 | You hear me? | Neutral | 2 |
| 981 | The media is having a feeding frenzy over this. | Neutral | 2 |
| 982 | All the phone lines are jammed, | Neutral | 2 |
| 983 | and every network has a pirated shot | Neutral | 2 |
| 984 | of Marlon making an ass of himself in front of the camera. | Neutral | 2 |
| 985 | The sponsors are threatening to rip up their contracts. | Negative | 1 |
| 986 | Why? We’re getting higher ratings with this graphic | Negative | 1 |
| 987 | than we’ve ever had on this show. | Neutral | 2 |
| 988 | No sign of him. | Negative | 1 |
| 989 | Marlon, why don’t you head back to town and join the others? | Negative | 1 |
| 990 | Everyone else is at first positions, okay? Thank you. | Negative | 1 |
| 991 | Everyone’s at first positions, right? | Neutral | 2 |
| 992 | We’ve got the light. So he’s got to be there somewhere. | Negative | 1 |
| 993 | We’re not watching the sea. | Neutral | 2 |
| 994 | Hang on a minute. Why would we watch the sea? | Negative | 1 |
| 995 | Sweep the harbor. | Neutral | 2 |
| 996 | Bring up the harbor cameras. | Neutral | 2 |
| 997 | Shift all harbor cameras to computer, please. | Neutral | 2 |
| 998 | Some of those are out, aren’t they? | Neutral | 2 |
| 999 | Yeah. We have four of them down, but we have the lighthouse cameras up. | Negative | 1 |
| 1000 | All buoy cams, please. What’s happening? | Neutral | 2 |
| 1001 | Longlens, shorebased cameras. | Neutral | 2 |
| 1002 | Why are we looking at the water? Good. | Negative | 1 |
| 1003 | Pan and zoom please. | Neutral | 2 |
| 1004 | Truman, | Neutral | 2 |
| 1005 | where are you going? | Neutral | 2 |
| 1006 | How can he sail? He’s in insurance. | Neutral | 2 |
| 1007 | Isn’t he terrified of the water? Resume transmission. | Negative | 1 |
| 1008 | Resuming transmission. | Neutral | 2 |
| 1009 | I got 2to1 he doesn’t make it. I want a piece of that. | Positive | 3 |
| 1010 | 2to1 he doesn’t make it. | Neutral | 2 |
| 1011 | Just leave them in the car. | Neutral | 2 |
| 1012 | Let’s get off this mast shot. We can’t see his face. Go to the cabin cam. | Negative | 1 |
| 1013 | There. Perfect. | Neutral | 2 |
| 1014 | That’s our hero shot. | Neutral | 2 |
| 1015 | Let’s get another boat out there. | Neutral | 2 |
| 1016 | Okay. Listen, Gus, I need you to talk to the guys on the ferry. | Negative | 1 |
| 1017 | Come on. Get it moving. Get it out of here. | Negative | 1 |
| 1018 | Come on. | Neutral | 2 |
| 1019 | I’m usually the bus driver. Bottom line is they can’t drive the boat. | Negative | 1 |
| 1020 | They’re actors. | Neutral | 2 |
| 1021 | How do we stop him? | Neutral | 2 |
| 1022 | Okay. | Neutral | 2 |
| 1023 | We’re going to be accessing the weather program now. | Negative | 1 |
| 1024 | So hold onto your hats. You got that? | Positive | 3 |
| 1025 | No. I think we’re gonna want to localize the storm over the boat. | Negative | 1 |
| 1026 | You can get the coordinates for that. | Neutral | 2 |
| 1027 | There’s no rescue boat. He won’t know what to do. | Negative | 1 |
| 1028 | He’ll turn back. He’ll be too afraid. | Negative | 1 |
| 1029 | Thar she blows. | Neutral | 2 |
| 1030 | Come on. | Neutral | 2 |
| 1031 | Give me some lightning. | Neutral | 2 |
| 1032 | Again. | Neutral | 2 |
| 1033 | Hit him again! | Neutral | 2 |
| 1034 | For God’s sake, the whole world is watching. | Neutral | 2 |
| 1035 | We can’t let him die in front of a live audience. | Negative | 1 |
| 1036 | He was born in front of a live audience. | Positive | 3 |
| 1037 | Come on, Truman! | Neutral | 2 |
| 1038 | You can do it! Hold on! | Neutral | 2 |
| 1039 | Is that the best you can do? | Positive | 3 |
| 1040 | You’re gonna have to kill me! | Neutral | 2 |
| 1041 | What shall we do with a drunken sailor? | Neutral | 2 |
| 1042 | I demand that you cease transmission. Keep running. | Neutral | 2 |
| 1043 | What shall we do with a drunken sailor Early in the mornin’? | Neutral | 2 |
| 1044 | Increase the wind. | Neutral | 2 |
| 1045 | I’m telling you for the last time. How close is he? | Neutral | 2 |
| 1046 | Very close. Capsize him. Tip him over. | Negative | 1 |
| 1047 | Damn you, Christof! You can’t. He’s tied himself to the boat! | Negative | 1 |
| 1048 | Shut up! | Neutral | 2 |
| 1049 | He’s gonna drown, and he doesn’t even care. | Neutral | 2 |
| 1050 | Do it. No. | Neutral | 2 |
| 1051 | Do it! | Neutral | 2 |
| 1052 | That’s enough. | Neutral | 2 |
| 1053 | I want to talk to him. | Neutral | 2 |
| 1054 | Truman. | Neutral | 2 |
| 1055 | You can speak. | Neutral | 2 |
| 1056 | I can hear you. | Neutral | 2 |
| 1057 | Who are you? | Neutral | 2 |
| 1058 | I am the creator of a television show | Neutral | 2 |
| 1059 | that gives hope and joy and inspiration to millions. | Positive | 3 |
| 1060 | Then who am I? | Neutral | 2 |
| 1061 | You’re the star. | Neutral | 2 |
| 1062 | Was nothing real? | Neutral | 2 |
| 1063 | You were real. | Neutral | 2 |
| 1064 | That’s what made you so good to watch. | Positive | 3 |
| 1065 | Listen to me, Truman. | Neutral | 2 |
| 1066 | There’s no more truth out there | Neutral | 2 |
| 1067 | than there is in the world I created for you. | Neutral | 2 |
| 1068 | The same lies, | Neutral | 2 |
| 1069 | the same deceit. | Neutral | 2 |
| 1070 | But in my world | Neutral | 2 |
| 1071 | you have nothing to fear. | Negative | 1 |
| 1072 | I know you better than you know yourself. | Negative | 1 |
| 1073 | You never had a camera in my head. | Neutral | 2 |
| 1074 | You’re afraid. | Neutral | 2 |
| 1075 | That’s why you can’t leave. | Negative | 1 |
| 1076 | It’s okay, Truman. | Neutral | 2 |
| 1077 | I understand. | Neutral | 2 |
| 1078 | I have been watching you your whole life. | Neutral | 2 |
| 1079 | I was watching when you were born. | Neutral | 2 |
| 1080 | I was watching when you took your first step. | Neutral | 2 |
| 1081 | I watched you on your first day of school. | Neutral | 2 |
| 1082 | The episode when you lost your first tooth. | Negative | 1 |
| 1083 | You can’t leave, Truman. | Neutral | 2 |
| 1084 | Please, God. | Neutral | 2 |
| 1085 | You belong here… | Neutral | 2 |
| 1086 | You can do it. | Neutral | 2 |
| 1087 | …with me. | Neutral | 2 |
| 1088 | Talk to me. | Neutral | 2 |
| 1089 | Say something. | Neutral | 2 |
| 1090 | Say something, God damn it. You’re on television. | Negative | 1 |
| 1091 | You’re live to the whole world. | Neutral | 2 |
| 1092 | In case I don’t see you, | Negative | 1 |
| 1093 | good afternoon, good evening, and good night. | Positive | 3 |
| 1094 | Yeah. | Neutral | 2 |
| 1095 | Yeah! | Neutral | 2 |
| 1096 | He made it! Yeah! All right, Truman! | Neutral | 2 |
| 1097 | Cease transmission. Ceasing transmission. | Neutral | 2 |
| 1098 | You want another slice? No. I’m okay. | Negative | 1 |
| 1099 | What else is on? Where’s the TV Guide? | Negative | 1 |
情緒等級
levels(movie_sentiment$sentiment)## [1] "Negative" "Neutral" "Positive" "Verypositive"說明:
電影的情緒等級中，沒有very Negative
欄位sentimentvalue是factor型態，需轉換成數字才能計算
movie_sentiment$sentimentValue = movie_sentiment$sentimentValue %>% as.character %>% as.numeric列出各情緒等級及對應的分數的語句數量
kable(table(movie_sentiment$sentiment,movie_sentiment$sentimentValue)) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| Negative | 314 | 0 | 0 | 0 |
| Neutral | 0 | 682 | 0 | 0 |
| Positive | 0 | 0 | 102 | 0 |
| Verypositive | 0 | 0 | 0 | 1 |
說明:
negative的語句大約是positive的3倍
每分鐘的平均語句情緒分數線圖
movie_sentiment %>%
merge(movie[,c("id","start_minute")]) %>%
group_by(start_minute) %>%
summarise(avg_sentiment = mean(sentimentValue,na.rm=T)) %>%
ggplot(aes(x=start_minute,y=avg_sentiment)) +
geom_line()+
labs(x = "分鐘", y="平均情緒分數")
說明:
第21分鐘，因為那一分鐘只有一句話，且被分析為負面的，沒有其他neutral語句中和，所以分數低
第25分鐘分數高，因為楚門跟sylvia在約會，因此有許多正面語句
第27分鐘分數沒又像其他辭典是最低的，因為coreNLP將那些語句分析為neutral
negative的語句很多，因此大多分數都在2(中立)以下，分析結果與前四者差異頗大
我們發現許多看似中立或正面的語句，coreNLP都會將它分析成是negative
PTT影評分析
df <- read.csv("PTT.csv")
df <- df[,-1]
names(df) <- c("url","text")
#影評資料
kable(df) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")使用jieba斷詞
#初使化
jieba_tokenizer = worker()
jieba_tokenizer <- worker(user="user_dict.txt", stop_word = "stop_words.txt")
#jieba處理中文字，需新增此函數，避免error
chi_tokenizer <- function(t) {
lapply(t, function(x) {
tokens <- segment(x, jieba_tokenizer)
tokens <- tokens[nchar(tokens)>1]
return(tokens)
})
}
ptt_tokens <- segment(as.character(df[,2]), jieba_tokenizer)
ptt_tokens <- as.data.frame(ptt_tokens)
names(ptt_tokens) <- c("word")列出詞頻前20高的詞彙
#計算次數
ptt_tokens_count <- ptt_tokens %>%
group_by(word) %>%
summarise(count=n()) %>%
arrange(desc(count))
ptt_tokens_count <- ptt_tokens_count[-(1:3),]
#結果
kable(head(ptt_tokens_count,20) ) %>%
kable_styling(bootstrap_options = c("striped", "hover")) %>%
scroll_box(height = "300px")| word | count |
|---|---|
| 推 | 41 |
| 覺得 | 39 |
| 世界 | 38 |
| 人 | 31 |
| 經典 | 30 |
| 好 | 26 |
| 真的 | 25 |
| 好看 | 23 |
| 金凱瑞 | 22 |
| 片 | 21 |
| 知道 | 20 |
| 最後 | 19 |
| 好片 | 18 |
| 說 | 18 |
| 喜歡 | 17 |
| 一個 | 16 |
| 問題 | 16 |
| 生活 | 14 |
| 老婆 | 14 |
| 演員 | 14 |
文字雲
#ptt_tokens_count %>% wordcloud2()
影評文字雲
繪製詞彙與出現次數長條圖
plot_merge <- ptt_tokens_count %>%
top_n(15) %>%
mutate(word = reorder(word, count)) %>%
ggplot(aes(x=word, y=count)) +
geom_col(show.legend = FALSE,fill="#00AFBB") +
labs(x = NULL, y="詞頻") +
coord_flip()+
theme(text = element_text(family = "Heiti TC Light"))
plot_merge